From e27933a17484e456dd44ce53f669759d3dbea62c Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Mon, 9 Jan 2023 22:56:43 +0300 Subject: [PATCH 01/31] Pin `opencv` (#372) * pin opencv to * fix comment --- setup.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/setup.py b/setup.py index e77cf1c6..9f1a321a 100644 --- a/setup.py +++ b/setup.py @@ -34,6 +34,9 @@ # fix conflict 'h5py<2.11.0,>=2.10.0', 'protobuf<4', + + # fails on python 3.6 + 'opencv-python<4.7', ] setup_requires = [ From 20f9ea363a7156b572842dcd4a22136fcb7155c0 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Tue, 17 Jan 2023 10:13:42 -0500 Subject: [PATCH 02/31] Update latest dependencies (#376) Co-authored-by: sarahmish --- .../requirement_files/latest_requirements.txt | 44 +++++++++---------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index b9fbb91f..d5b49da8 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -1,24 +1,24 @@ -absl-py==1.3.0 +absl-py==1.4.0 astunparse==1.6.3 attrs==22.2.0 azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 -azure-core==1.26.1 +azure-core==1.26.2 beautifulsoup4==4.11.1 -botocore==1.29.37 -cachetools==5.2.0 +botocore==1.29.50 +cachetools==5.2.1 certifi==2022.12.7 -charset-normalizer==2.1.1 +charset-normalizer==3.0.1 click==7.1.2 cloudpickle==2.2.0 -coverage==7.0.1 +coverage==7.0.5 dask==2022.2.0 distributed==2022.2.0 exceptiongroup==1.1.0 featuretools==0.22.0 fsspec==2022.11.0 gast==0.3.3 -google-auth==2.15.0 +google-auth==2.16.0 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 @@ -26,9 +26,9 @@ grpcio==1.51.1 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 -imageio==2.23.0 -importlib-metadata==5.2.0 -iniconfig==1.1.1 +imageio==2.24.0 +importlib-metadata==6.0.0 +iniconfig==2.0.0 invoke==1.7.3 iso639==0.1.4 isodate==0.6.1 @@ -49,35 +49,35 @@ mlprimitives==0.3.2 msgpack==1.0.4 msrest==0.7.1 networkx==2.6.3 -nltk==3.8 +nltk==3.8.1 numba==0.51.2 numpy==1.18.5 oauthlib==3.2.2 opencv-python==4.6.0.66 opt-einsum==3.3.0 orion-ml==0.4.1.dev0 -packaging==22.0 +packaging==23.0 pandas==1.3.5 partd==1.3.0 patsy==0.5.3 -Pillow==9.3.0 +Pillow==9.4.0 pluggy==1.0.0 prompt-toolkit==3.0.36 protobuf==3.20.3 psutil==5.9.4 pyasn1==0.4.8 pyasn1-modules==0.2.8 -Pygments==2.13.0 -pytest==7.2.0 +Pygments==2.14.0 +pytest==7.2.1 pytest-cov==4.0.0 python-dateutil==2.8.2 python-louvain==0.13 pyts==0.10.0 -pytz==2022.7 +pytz==2022.7.1 PyWavelets==1.3.0 PyYAML==6.0 regex==2022.10.31 -requests==2.28.1 +requests==2.28.2 requests-oauthlib==1.3.1 rsa==4.9 rundoc==0.4.5 @@ -91,12 +91,12 @@ soupsieve==2.3.2.post1 statsmodels==0.12.2 tabulate==0.8.10 tblib==1.7.0 -tensorboard==2.11.0 +tensorboard==2.11.2 tensorboard-data-server==0.6.1 tensorboard-plugin-wit==1.8.1 tensorflow==2.3.4 tensorflow-estimator==2.3.0 -termcolor==2.1.1 +termcolor==2.2.0 threadpoolctl==3.1.0 tifffile==2021.11.2 tomli==2.0.1 @@ -104,11 +104,11 @@ toolz==0.12.0 tornado==6.2 tqdm==4.64.1 typing_extensions==4.4.0 -urllib3==1.26.13 -wcwidth==0.2.5 +urllib3==1.26.14 +wcwidth==0.2.6 Werkzeug==2.2.2 wrapt==1.14.1 xgboost==0.90 -XlsxWriter==3.0.3 +XlsxWriter==3.0.7 zict==2.2.0 zipp==3.11.0 From b3960c9669475b4d8c0d0f91cba8a781557b36e0 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Wed, 25 Jan 2023 09:40:00 -0500 Subject: [PATCH 03/31] Update latest dependencies (#378) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index d5b49da8..6108e361 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,18 +5,18 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.2 beautifulsoup4==4.11.1 -botocore==1.29.50 -cachetools==5.2.1 +botocore==1.29.54 +cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 click==7.1.2 -cloudpickle==2.2.0 +cloudpickle==2.2.1 coverage==7.0.5 dask==2022.2.0 distributed==2022.2.0 exceptiongroup==1.1.0 featuretools==0.22.0 -fsspec==2022.11.0 +fsspec==2023.1.0 gast==0.3.3 google-auth==2.16.0 google-auth-oauthlib==0.4.6 @@ -29,7 +29,7 @@ idna==3.4 imageio==2.24.0 importlib-metadata==6.0.0 iniconfig==2.0.0 -invoke==1.7.3 +invoke==2.0.0 iso639==0.1.4 isodate==0.6.1 Jinja2==3.1.2 @@ -43,9 +43,9 @@ llvmlite==0.34.0 locket==1.0.0 Markdown==2.6.11 markdown-rundoc==0.3.1 -MarkupSafe==2.1.1 +MarkupSafe==2.1.2 mlblocks==0.4.1 -mlprimitives==0.3.2 +mlprimitives==0.3.3 msgpack==1.0.4 msrest==0.7.1 networkx==2.6.3 From 5af8fe01a94ec393d54fbb0dbb9a81673a773384 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Thu, 26 Jan 2023 09:42:37 -0500 Subject: [PATCH 04/31] move vae from sandbox to verified (#377) --- orion/pipelines/{sandbox => verified}/vae/vae.json | 0 .../{sandbox => verified}/vae/vae_artificialwithanomaly.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_msl.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_realadexchange.json | 0 .../{sandbox => verified}/vae/vae_realawscloudwatch.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_realtraffic.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_realtweets.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_smap.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_viz.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_yahooa1.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_yahooa2.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_yahooa3.json | 0 orion/pipelines/{sandbox => verified}/vae/vae_yahooa4.json | 0 13 files changed, 0 insertions(+), 0 deletions(-) rename orion/pipelines/{sandbox => verified}/vae/vae.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_artificialwithanomaly.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_msl.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_realadexchange.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_realawscloudwatch.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_realtraffic.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_realtweets.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_smap.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_viz.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_yahooa1.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_yahooa2.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_yahooa3.json (100%) rename orion/pipelines/{sandbox => verified}/vae/vae_yahooa4.json (100%) diff --git a/orion/pipelines/sandbox/vae/vae.json b/orion/pipelines/verified/vae/vae.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae.json rename to orion/pipelines/verified/vae/vae.json diff --git a/orion/pipelines/sandbox/vae/vae_artificialwithanomaly.json b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_artificialwithanomaly.json rename to orion/pipelines/verified/vae/vae_artificialwithanomaly.json diff --git a/orion/pipelines/sandbox/vae/vae_msl.json b/orion/pipelines/verified/vae/vae_msl.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_msl.json rename to orion/pipelines/verified/vae/vae_msl.json diff --git a/orion/pipelines/sandbox/vae/vae_realadexchange.json b/orion/pipelines/verified/vae/vae_realadexchange.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_realadexchange.json rename to orion/pipelines/verified/vae/vae_realadexchange.json diff --git a/orion/pipelines/sandbox/vae/vae_realawscloudwatch.json b/orion/pipelines/verified/vae/vae_realawscloudwatch.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_realawscloudwatch.json rename to orion/pipelines/verified/vae/vae_realawscloudwatch.json diff --git a/orion/pipelines/sandbox/vae/vae_realtraffic.json b/orion/pipelines/verified/vae/vae_realtraffic.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_realtraffic.json rename to orion/pipelines/verified/vae/vae_realtraffic.json diff --git a/orion/pipelines/sandbox/vae/vae_realtweets.json b/orion/pipelines/verified/vae/vae_realtweets.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_realtweets.json rename to orion/pipelines/verified/vae/vae_realtweets.json diff --git a/orion/pipelines/sandbox/vae/vae_smap.json b/orion/pipelines/verified/vae/vae_smap.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_smap.json rename to orion/pipelines/verified/vae/vae_smap.json diff --git a/orion/pipelines/sandbox/vae/vae_viz.json b/orion/pipelines/verified/vae/vae_viz.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_viz.json rename to orion/pipelines/verified/vae/vae_viz.json diff --git a/orion/pipelines/sandbox/vae/vae_yahooa1.json b/orion/pipelines/verified/vae/vae_yahooa1.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_yahooa1.json rename to orion/pipelines/verified/vae/vae_yahooa1.json diff --git a/orion/pipelines/sandbox/vae/vae_yahooa2.json b/orion/pipelines/verified/vae/vae_yahooa2.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_yahooa2.json rename to orion/pipelines/verified/vae/vae_yahooa2.json diff --git a/orion/pipelines/sandbox/vae/vae_yahooa3.json b/orion/pipelines/verified/vae/vae_yahooa3.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_yahooa3.json rename to orion/pipelines/verified/vae/vae_yahooa3.json diff --git a/orion/pipelines/sandbox/vae/vae_yahooa4.json b/orion/pipelines/verified/vae/vae_yahooa4.json similarity index 100% rename from orion/pipelines/sandbox/vae/vae_yahooa4.json rename to orion/pipelines/verified/vae/vae_yahooa4.json From 2212ae68dc2ec4200a8b7ad9e3d35372bd8110e0 Mon Sep 17 00:00:00 2001 From: sarahmish Date: Wed, 4 Jan 2023 17:12:59 +0300 Subject: [PATCH 05/31] =?UTF-8?q?Bump=20version:=200.4.1.dev0=20=E2=86=92?= =?UTF-8?q?=200.4.1.dev1?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- orion/__init__.py | 2 +- setup.cfg | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/orion/__init__.py b/orion/__init__.py index 742a6c6a..6b8e1198 100644 --- a/orion/__init__.py +++ b/orion/__init__.py @@ -2,7 +2,7 @@ __author__ = """MIT Data To AI Lab""" __email__ = 'dailabmit@gmail.com' -__version__ = '0.4.1.dev0' +__version__ = '0.4.1.dev1' import os diff --git a/setup.cfg b/setup.cfg index d89a4e1b..82073cea 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.4.1.dev0 +current_version = 0.4.1.dev1 commit = True tag = True parse = (?P\d+)\.(?P\d+)\.(?P\d+)(\.(?P[a-z]+)(?P\d+))? diff --git a/setup.py b/setup.py index 9f1a321a..6e0130bc 100644 --- a/setup.py +++ b/setup.py @@ -125,6 +125,6 @@ test_suite='tests', tests_require=tests_require, url='https://github.com/sintel-dev/Orion', - version='0.4.1.dev0', + version='0.4.1.dev1', zip_safe=False, ) From 00076b1b0895b825c5ed02315a987329cbd73fa2 Mon Sep 17 00:00:00 2001 From: sarahmish Date: Tue, 31 Jan 2023 10:59:31 -0500 Subject: [PATCH 06/31] add release notes --- HISTORY.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/HISTORY.md b/HISTORY.md index cd76a254..586c8a4e 100644 --- a/HISTORY.md +++ b/HISTORY.md @@ -1,6 +1,15 @@ History ======= +## 0.4.1 - 2023-01-31 + +### Issues resolved + +* Move VAE from sandbox to verified – [Issue #377](https://github.com/signals-dev/Orion/issues/377) by @sarahmish +* Pin ``opencv`` – [Issue #372](https://github.com/signals-dev/Orion/issues/372) by @sarahmish +* Pin ``scikit-learn`` – [Issue #367](https://github.com/signals-dev/Orion/issues/367) by @sarahmish +* Fix VAE documentation – [Issue #360](https://github.com/signals-dev/Orion/issues/360) by @sarahmish + ## 0.4.0 - 2022-11-08 This version introduces several new enhancements: From 0b2adbb01b1c8264f1826615765976d09c9fcf67 Mon Sep 17 00:00:00 2001 From: sarahmish Date: Tue, 31 Jan 2023 11:03:31 -0500 Subject: [PATCH 07/31] =?UTF-8?q?Bump=20version:=200.4.1.dev1=20=E2=86=92?= =?UTF-8?q?=200.4.1?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- orion/__init__.py | 2 +- setup.cfg | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/orion/__init__.py b/orion/__init__.py index 6b8e1198..16534340 100644 --- a/orion/__init__.py +++ b/orion/__init__.py @@ -2,7 +2,7 @@ __author__ = """MIT Data To AI Lab""" __email__ = 'dailabmit@gmail.com' -__version__ = '0.4.1.dev1' +__version__ = '0.4.1' import os diff --git a/setup.cfg b/setup.cfg index 82073cea..37883dda 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.4.1.dev1 +current_version = 0.4.1 commit = True tag = True parse = (?P\d+)\.(?P\d+)\.(?P\d+)(\.(?P[a-z]+)(?P\d+))? diff --git a/setup.py b/setup.py index 6e0130bc..aac66c23 100644 --- a/setup.py +++ b/setup.py @@ -125,6 +125,6 @@ test_suite='tests', tests_require=tests_require, url='https://github.com/sintel-dev/Orion', - version='0.4.1.dev1', + version='0.4.1', zip_safe=False, ) From 93caa3725e4b9bb9687de3355879c9447ab66176 Mon Sep 17 00:00:00 2001 From: sarahmish Date: Tue, 31 Jan 2023 11:04:07 -0500 Subject: [PATCH 08/31] =?UTF-8?q?Bump=20version:=200.4.1=20=E2=86=92=200.4?= =?UTF-8?q?.2.dev0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- orion/__init__.py | 2 +- setup.cfg | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/orion/__init__.py b/orion/__init__.py index 16534340..05469783 100644 --- a/orion/__init__.py +++ b/orion/__init__.py @@ -2,7 +2,7 @@ __author__ = """MIT Data To AI Lab""" __email__ = 'dailabmit@gmail.com' -__version__ = '0.4.1' +__version__ = '0.4.2.dev0' import os diff --git a/setup.cfg b/setup.cfg index 37883dda..8952e2d6 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.4.1 +current_version = 0.4.2.dev0 commit = True tag = True parse = (?P\d+)\.(?P\d+)\.(?P\d+)(\.(?P[a-z]+)(?P\d+))? diff --git a/setup.py b/setup.py index aac66c23..5c20dee8 100644 --- a/setup.py +++ b/setup.py @@ -125,6 +125,6 @@ test_suite='tests', tests_require=tests_require, url='https://github.com/sintel-dev/Orion', - version='0.4.1', + version='0.4.2.dev0', zip_safe=False, ) From aa3a0fb58bc23b377353eae6ca74e5c6e798b00f Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Thu, 2 Feb 2023 12:26:28 -0500 Subject: [PATCH 09/31] add visualization pipeline for aer (#379) --- orion/pipelines/verified/aer/aer_viz.json | 73 +++++++++++++++++++++++ 1 file changed, 73 insertions(+) create mode 100644 orion/pipelines/verified/aer/aer_viz.json diff --git a/orion/pipelines/verified/aer/aer_viz.json b/orion/pipelines/verified/aer/aer_viz.json new file mode 100644 index 00000000..acb840bb --- /dev/null +++ b/orion/pipelines/verified/aer/aer_viz.json @@ -0,0 +1,73 @@ +{ + "primitives": [ + "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "sklearn.impute.SimpleImputer", + "sklearn.preprocessing.MinMaxScaler", + "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "orion.primitives.timeseries_preprocessing.slice_array_by_dims", + "orion.primitives.aer.AER", + "orion.primitives.aer.score_anomalies", + "orion.primitives.timeseries_anomalies.find_anomalies" + ], + "init_params": { + "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "time_column": "timestamp", + "interval": 21600, + "method": "mean" + }, + "sklearn.preprocessing.MinMaxScaler#1": { + "feature_range": [ + -1, + 1 + ] + }, + "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "target_column": 0, + "window_size": 100, + "target_size": 1 + }, + "orion.primitives.timeseries_preprocessing.slice_array_by_dims": { + "target_index": 0, + "axis": 2 + }, + "orion.primitives.aer.AER#1": { + "epochs": 35 + }, + "orion.primitives.aer.score_anomalies#1": { + "rec_error_type": "dtw", + "comb": "mult", + "mask": true, + "lambda_rec": 0.5 + }, + "orion.primitives.timeseries_anomalies.find_anomalies#1": { + "window_size_portion": 0.33, + "window_step_size_portion": 0.1, + "fixed_threshold": true + } + }, + "input_names": { + "orion.primitives.timeseries_anomalies.find_anomalies#1": { + "index": "index" + } + }, + "output_names": { + "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "index": "X_index", + "target_index": "y_index" + } + }, + "outputs": { + "default": [ + { + "name": "events", + "variable": "orion.primitives.timeseries_anomalies.find_anomalies#1.y" + } + ], + "visualization": [ + { + "name": "generated_timeseries", + "variable": "orion.primitives.aer.AER#1.y_hat" + } + ] + } +} From 28d51bec5b690927bdf189a9be1b1f7d6638e01d Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Sat, 4 Feb 2023 20:08:05 -0500 Subject: [PATCH 10/31] Update latest dependencies (#380) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 6108e361..82b64371 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,13 +5,13 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.2 beautifulsoup4==4.11.1 -botocore==1.29.54 +botocore==1.29.59 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 click==7.1.2 cloudpickle==2.2.1 -coverage==7.0.5 +coverage==7.1.0 dask==2022.2.0 distributed==2022.2.0 exceptiongroup==1.1.0 @@ -26,7 +26,7 @@ grpcio==1.51.1 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 -imageio==2.24.0 +imageio==2.25.0 importlib-metadata==6.0.0 iniconfig==2.0.0 invoke==2.0.0 @@ -45,7 +45,7 @@ Markdown==2.6.11 markdown-rundoc==0.3.1 MarkupSafe==2.1.2 mlblocks==0.4.1 -mlprimitives==0.3.3 +mlprimitives==0.3.4 msgpack==1.0.4 msrest==0.7.1 networkx==2.6.3 @@ -111,4 +111,4 @@ wrapt==1.14.1 xgboost==0.90 XlsxWriter==3.0.7 zict==2.2.0 -zipp==3.11.0 +zipp==3.12.0 From d0f87e053756b98164d866e8c74fd96e0f5258d7 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Sun, 5 Feb 2023 23:44:04 -0500 Subject: [PATCH 11/31] add benchmark results (#381) --- README.md | 7 +- benchmark/leaderboard.md | 7 +- benchmark/leaderboard.xlsx | Bin 595086 -> 7518 bytes benchmark/results/0.4.1.csv | 4429 +++++++++++++++++++++++++++++++++++ 4 files changed, 4437 insertions(+), 6 deletions(-) create mode 100644 benchmark/results/0.4.1.csv diff --git a/README.md b/README.md index fabfd67d..84782817 100644 --- a/README.md +++ b/README.md @@ -130,12 +130,13 @@ We run the benchmark on **11** datasets with their known grounth truth. We recor | Pipeline | Outperforms ARIMA | |---------------------------|--------------------| -| AER | 10 | +| AER | 11 | | TadGAN | 7 | -| LSTM Dynamic Thresholding | 8 | +| LSTM Dynamic Thresholding | 7 | | LSTM Autoencoder | 6 | | Dense Autoencoder | 6 | -| VAE | 6 | +| VAE | 7 | +| GANF | 6 | | Azure | 0 | diff --git a/benchmark/leaderboard.md b/benchmark/leaderboard.md index 00921ec9..c698b388 100644 --- a/benchmark/leaderboard.md +++ b/benchmark/leaderboard.md @@ -1,9 +1,10 @@ | Pipeline | Outperforms ARIMA | |---------------------------|--------------------| -| AER | 10 | +| AER | 11 | | TadGAN | 7 | -| LSTM Dynamic Thresholding | 8 | +| LSTM Dynamic Thresholding | 7 | | LSTM Autoencoder | 6 | | Dense Autoencoder | 6 | -| VAE | 6 | +| VAE | 7 | +| GANF | 6 | | Azure | 0 | diff --git a/benchmark/leaderboard.xlsx b/benchmark/leaderboard.xlsx index 370f5c8cd079c9d1c0548328e304d800a8cc376a..7b11ad73b3b09cc440da123827b4aca18c437b24 100644 GIT binary patch literal 7518 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+realAWSCloudwatch,vae,rds_cpu_utilization_cc0c53,0,0.5,0.5,0.5,,1,1,1,OK,44.309366,False,aec26afb-0 +realAWSCloudwatch,vae,rds_cpu_utilization_e47b3b,0,0.8,1.0,0.6666666666666666,,1,0,2,OK,122.70283700000002,False,aec26afb-0 +realAdExchange,vae,exchange-2_cpc_results,0,,0.0,0.0,,3,1,0,OK,100.111384,False,aec26afb-0 +realAdExchange,vae,exchange-2_cpm_results,0,0.6666666666666666,0.5,1.0,,0,1,1,OK,100.81393299999999,False,aec26afb-0 +realAdExchange,vae,exchange-3_cpc_results,0,0.8,0.6666666666666666,1.0,,0,1,2,OK,100.627851,False,aec26afb-0 +realAdExchange,vae,exchange-3_cpm_results,0,0.4,1.0,0.25,,3,0,1,OK,100.514336,False,aec26afb-0 +realAdExchange,vae,exchange-4_cpm_results,0,0.8888888888888891,1.0,0.8,,1,0,4,OK,100.906451,False,aec26afb-0 +realTraffic,vae,TravelTime_387,0,0.3333333333333333,0.3333333333333333,0.3333333333333333,,2,2,1,OK,578.205847,False,aec26afb-0 +realTraffic,vae,TravelTime_451,0,0.5,1.0,0.3333333333333333,,2,0,1,OK,416.763246,False,aec26afb-0 +realTraffic,vae,occupancy_6005,0,,0.0,0.0,,1,1,0,OK,141.99271299999998,False,aec26afb-0 +realTraffic,vae,occupancy_t4013,0,0.6666666666666666,0.5,1.0,,0,1,1,OK,143.071078,False,aec26afb-0 +realTraffic,vae,speed_6005,0,,0.0,0.0,,1,1,0,OK,109.52131599999998,False,aec26afb-0 +realTraffic,vae,speed_7578,0,0.75,0.75,0.75,,1,1,3,OK,50.666534000000006,False,aec26afb-0 +realTraffic,vae,speed_t4013,0,0.5,0.5,0.5,,1,1,1,OK,142.886201,False,aec26afb-0 +realTweets,vae,Twitter_volume_AAPL,0,0.75,0.75,0.75,,1,1,3,OK,418.428084,False,aec26afb-0 +realTweets,vae,Twitter_volume_AMZN,0,0.5714285714285715,0.5,0.6666666666666666,,1,2,2,OK,486.824745,False,aec26afb-0 +realTweets,vae,Twitter_volume_CRM,0,0.8571428571428571,1.0,0.75,,1,0,3,OK,444.271321,False,aec26afb-0 +realTweets,vae,Twitter_volume_CVS,0,0.6666666666666666,0.6666666666666666,0.6666666666666666,,1,1,2,OK,406.96473,False,aec26afb-0 +realTweets,vae,Twitter_volume_FB,0,,0.0,0.0,,3,2,0,OK,422.340149,False,aec26afb-0 +realTweets,vae,Twitter_volume_GOOG,0,0.6666666666666666,0.6666666666666666,0.6666666666666666,,1,1,2,OK,485.584694,False,aec26afb-0 +realTweets,vae,Twitter_volume_IBM,0,0.4,0.5,0.3333333333333333,,2,1,1,OK,452.809675,False,aec26afb-0 +realTweets,vae,Twitter_volume_KO,0,0.8,0.6666666666666666,1.0,,0,1,2,OK,447.11818099999994,False,aec26afb-0 +realTweets,vae,Twitter_volume_PFE,0,0.4,0.25,1.0,,0,3,1,OK,487.331628,False,aec26afb-0 +realTweets,vae,Twitter_volume_UPS,0,,0.0,0.0,,1,5,0,OK,393.924981,False,aec26afb-0 From 4843c11bf80b9b766c1d769869969f8d1dced17e Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Wed, 8 Feb 2023 10:53:29 -0500 Subject: [PATCH 12/31] Update latest dependencies (#382) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 82b64371..4b4b9e32 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -3,9 +3,9 @@ astunparse==1.6.3 attrs==22.2.0 azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 -azure-core==1.26.2 -beautifulsoup4==4.11.1 -botocore==1.29.59 +azure-core==1.26.3 +beautifulsoup4==4.11.2 +botocore==1.29.64 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 @@ -55,7 +55,7 @@ numpy==1.18.5 oauthlib==3.2.2 opencv-python==4.6.0.66 opt-einsum==3.3.0 -orion-ml==0.4.1.dev0 +orion-ml==0.4.2.dev0 packaging==23.0 pandas==1.3.5 partd==1.3.0 @@ -109,6 +109,6 @@ wcwidth==0.2.6 Werkzeug==2.2.2 wrapt==1.14.1 xgboost==0.90 -XlsxWriter==3.0.7 +XlsxWriter==3.0.8 zict==2.2.0 -zipp==3.12.0 +zipp==3.12.1 From c21ab615d4a5c6814140215ebc645dc8a666b8d9 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Wed, 15 Feb 2023 15:13:09 -0500 Subject: [PATCH 13/31] Update latest dependencies (#385) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 4b4b9e32..e18038ff 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,7 +5,7 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.11.2 -botocore==1.29.64 +botocore==1.29.69 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 @@ -111,4 +111,4 @@ wrapt==1.14.1 xgboost==0.90 XlsxWriter==3.0.8 zict==2.2.0 -zipp==3.12.1 +zipp==3.13.0 From ed4fd073cb2cdbd630fd553e69bf39c267a6bf93 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Fri, 17 Feb 2023 15:33:02 -0600 Subject: [PATCH 14/31] create a variable for `mlpipeline` (#390) --- orion/core.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/orion/core.py b/orion/core.py index 792c1809..f9e6a332 100644 --- a/orion/core.py +++ b/orion/core.py @@ -278,6 +278,8 @@ def evaluate(self, data: pd.DataFrame, ground_truth: pd.DataFrame, fit: bool = F else: if not self._fitted: mlpipeline = self._get_mlpipeline() + else: + mlpipeline = self._mlpipeline if train_data is not None: # Fit first and then predict From 9b7e43bcd9f2361e2d632dd6f858b0f36f058e73 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Fri, 24 Feb 2023 09:07:00 -0500 Subject: [PATCH 15/31] Update latest dependencies (#392) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index e18038ff..5e5269e1 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,7 +5,7 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.11.2 -botocore==1.29.69 +botocore==1.29.74 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 @@ -18,7 +18,7 @@ exceptiongroup==1.1.0 featuretools==0.22.0 fsspec==2023.1.0 gast==0.3.3 -google-auth==2.16.0 +google-auth==2.16.1 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 @@ -26,7 +26,7 @@ grpcio==1.51.1 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 -imageio==2.25.0 +imageio==2.25.1 importlib-metadata==6.0.0 iniconfig==2.0.0 invoke==2.0.0 @@ -87,7 +87,7 @@ scikit-learn==1.0.2 scipy==1.7.3 six==1.16.0 sortedcontainers==2.4.0 -soupsieve==2.3.2.post1 +soupsieve==2.4 statsmodels==0.12.2 tabulate==0.8.10 tblib==1.7.0 @@ -103,12 +103,12 @@ tomli==2.0.1 toolz==0.12.0 tornado==6.2 tqdm==4.64.1 -typing_extensions==4.4.0 +typing_extensions==4.5.0 urllib3==1.26.14 wcwidth==0.2.6 -Werkzeug==2.2.2 +Werkzeug==2.2.3 wrapt==1.14.1 xgboost==0.90 XlsxWriter==3.0.8 zict==2.2.0 -zipp==3.13.0 +zipp==3.14.0 From 676f62fcd8abb3f1af2f84d6770a764f3965f7d5 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Wed, 1 Mar 2023 13:56:28 -0500 Subject: [PATCH 16/31] Update latest dependencies (#393) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 5e5269e1..a0e9a5a3 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,13 +5,13 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.11.2 -botocore==1.29.74 +botocore==1.29.79 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 click==7.1.2 cloudpickle==2.2.1 -coverage==7.1.0 +coverage==7.2.1 dask==2022.2.0 distributed==2022.2.0 exceptiongroup==1.1.0 @@ -22,7 +22,7 @@ google-auth==2.16.1 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 -grpcio==1.51.1 +grpcio==1.51.3 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 @@ -62,7 +62,7 @@ partd==1.3.0 patsy==0.5.3 Pillow==9.4.0 pluggy==1.0.0 -prompt-toolkit==3.0.36 +prompt-toolkit==3.0.37 protobuf==3.20.3 psutil==5.9.4 pyasn1==0.4.8 @@ -111,4 +111,4 @@ wrapt==1.14.1 xgboost==0.90 XlsxWriter==3.0.8 zict==2.2.0 -zipp==3.14.0 +zipp==3.15.0 From a0cbc1037bdfab5e0b361313af06da8c4c3b82a0 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Thu, 9 Mar 2023 10:36:01 -0500 Subject: [PATCH 17/31] Update latest dependencies (#395) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index a0e9a5a3..b9b22e4a 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,7 +5,7 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.11.2 -botocore==1.29.79 +botocore==1.29.84 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.0.1 @@ -18,7 +18,7 @@ exceptiongroup==1.1.0 featuretools==0.22.0 fsspec==2023.1.0 gast==0.3.3 -google-auth==2.16.1 +google-auth==2.16.2 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 @@ -26,7 +26,7 @@ grpcio==1.51.3 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 -imageio==2.25.1 +imageio==2.26.0 importlib-metadata==6.0.0 iniconfig==2.0.0 invoke==2.0.0 @@ -62,13 +62,13 @@ partd==1.3.0 patsy==0.5.3 Pillow==9.4.0 pluggy==1.0.0 -prompt-toolkit==3.0.37 +prompt-toolkit==3.0.38 protobuf==3.20.3 psutil==5.9.4 pyasn1==0.4.8 pyasn1-modules==0.2.8 Pygments==2.14.0 -pytest==7.2.1 +pytest==7.2.2 pytest-cov==4.0.0 python-dateutil==2.8.2 python-louvain==0.13 @@ -102,12 +102,12 @@ tifffile==2021.11.2 tomli==2.0.1 toolz==0.12.0 tornado==6.2 -tqdm==4.64.1 +tqdm==4.65.0 typing_extensions==4.5.0 urllib3==1.26.14 wcwidth==0.2.6 Werkzeug==2.2.3 -wrapt==1.14.1 +wrapt==1.15.0 xgboost==0.90 XlsxWriter==3.0.8 zict==2.2.0 From cf495e24337b9b8f8662168c4e48ce541506c6b3 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Tue, 14 Mar 2023 14:36:25 +0000 Subject: [PATCH 18/31] Update `xlsxwriter` (#396) --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 5c20dee8..c30dfaee 100644 --- a/setup.py +++ b/setup.py @@ -29,7 +29,7 @@ 'numba>=0.48,<0.52', 'pyts>=0.9,<0.11', 'azure-cognitiveservices-anomalydetector>=0.3,<0.4', - 'xlsxwriter>=1.3.6<1.4', + 'xlsxwriter>=1.3.6,<1.4', # fix conflict 'h5py<2.11.0,>=2.10.0', From 4c4e9a0e5d83df201eebd65822100ca38eadf57c Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Thu, 16 Mar 2023 10:17:51 -0400 Subject: [PATCH 19/31] Update latest dependencies (#397) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index b9b22e4a..f38d3ed8 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,16 +5,16 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.11.2 -botocore==1.29.84 +botocore==1.29.89 cachetools==5.3.0 certifi==2022.12.7 -charset-normalizer==3.0.1 +charset-normalizer==3.1.0 click==7.1.2 cloudpickle==2.2.1 coverage==7.2.1 dask==2022.2.0 distributed==2022.2.0 -exceptiongroup==1.1.0 +exceptiongroup==1.1.1 featuretools==0.22.0 fsspec==2023.1.0 gast==0.3.3 @@ -46,7 +46,7 @@ markdown-rundoc==0.3.1 MarkupSafe==2.1.2 mlblocks==0.4.1 mlprimitives==0.3.4 -msgpack==1.0.4 +msgpack==1.0.5 msrest==0.7.1 networkx==2.6.3 nltk==3.8.1 @@ -104,11 +104,11 @@ toolz==0.12.0 tornado==6.2 tqdm==4.65.0 typing_extensions==4.5.0 -urllib3==1.26.14 +urllib3==1.26.15 wcwidth==0.2.6 Werkzeug==2.2.3 wrapt==1.15.0 xgboost==0.90 -XlsxWriter==3.0.8 +XlsxWriter==3.0.9 zict==2.2.0 zipp==3.15.0 From 3fc755e11b7aa0687d1a7a084b07404182a10557 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Wed, 22 Mar 2023 11:21:08 -0400 Subject: [PATCH 20/31] Update latest dependencies (#400) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index f38d3ed8..809e1550 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,13 +5,13 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.11.2 -botocore==1.29.89 +botocore==1.29.94 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.1.0 click==7.1.2 cloudpickle==2.2.1 -coverage==7.2.1 +coverage==7.2.2 dask==2022.2.0 distributed==2022.2.0 exceptiongroup==1.1.1 @@ -27,7 +27,7 @@ h5py==2.10.0 HeapDict==1.0.1 idna==3.4 imageio==2.26.0 -importlib-metadata==6.0.0 +importlib-metadata==6.1.0 iniconfig==2.0.0 invoke==2.0.0 iso639==0.1.4 @@ -109,6 +109,6 @@ wcwidth==0.2.6 Werkzeug==2.2.3 wrapt==1.15.0 xgboost==0.90 -XlsxWriter==3.0.9 +XlsxWriter==1.3.9 zict==2.2.0 zipp==3.15.0 From 9657f32d7ae0e1b0f57109916aec8785170fa1ce Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Tue, 28 Mar 2023 00:07:54 -0400 Subject: [PATCH 21/31] Update latest dependencies (#401) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 809e1550..2d65a291 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -4,8 +4,8 @@ attrs==22.2.0 azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 -beautifulsoup4==4.11.2 -botocore==1.29.94 +beautifulsoup4==4.12.0 +botocore==1.29.99 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.1.0 @@ -18,7 +18,7 @@ exceptiongroup==1.1.1 featuretools==0.22.0 fsspec==2023.1.0 gast==0.3.3 -google-auth==2.16.2 +google-auth==2.16.3 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 @@ -26,7 +26,7 @@ grpcio==1.51.3 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 -imageio==2.26.0 +imageio==2.26.1 importlib-metadata==6.1.0 iniconfig==2.0.0 invoke==2.0.0 @@ -38,7 +38,7 @@ joblib==1.2.0 Keras==2.4.3 Keras-Preprocessing==1.1.2 langdetect==1.0.9 -lightfm==1.16 +lightfm==1.17 llvmlite==0.34.0 locket==1.0.0 Markdown==2.6.11 @@ -73,7 +73,7 @@ pytest-cov==4.0.0 python-dateutil==2.8.2 python-louvain==0.13 pyts==0.10.0 -pytz==2022.7.1 +pytz==2023.2 PyWavelets==1.3.0 PyYAML==6.0 regex==2022.10.31 From abcce7481f2ff66ad46c838997d848e5abf0eb57 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Fri, 31 Mar 2023 13:35:16 -0400 Subject: [PATCH 22/31] Remove unused pipelines (#402) --- orion/benchmark.py | 4 +- .../lstm_autoencoder_gpu.json | 90 ------------------- .../lstm_dynamic_threshold_gpu.json | 83 ----------------- 3 files changed, 2 insertions(+), 175 deletions(-) delete mode 100644 orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_gpu.json delete mode 100644 orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_gpu.json diff --git a/orion/benchmark.py b/orion/benchmark.py index c0d56ff6..3108f51d 100644 --- a/orion/benchmark.py +++ b/orion/benchmark.py @@ -50,11 +50,11 @@ VERIFIED_PIPELINES_GPU = { 'arima': 'arima', - 'lstm_dynamic_threshold': 'lstm_dynamic_threshold_gpu', + 'lstm_dynamic_threshold': 'lstm_dynamic_threshold', 'azure': 'azure', 'tadgan': 'tadgan_without_dropout_gpu', 'aer': 'aer', - 'lstm_autoencoder': 'lstm_autoencoder_gpu', + 'lstm_autoencoder': 'lstm_autoencoder', 'dense_autoencoder': 'dense_autoencoder', 'vae': 'vae' } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_gpu.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_gpu.json deleted file mode 100644 index 34111ae4..00000000 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_gpu.json +++ /dev/null @@ -1,90 +0,0 @@ -{ - "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", - "sklearn.impute.SimpleImputer", - "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", - "orion.primitives.timeseries_preprocessing.slice_array_by_dims", - "keras.Sequential.LSTMSeq2Seq", - "orion.primitives.timeseries_errors.reconstruction_errors", - "orion.primitives.timeseries_anomalies.find_anomalies" - ], - "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { - "time_column": "timestamp", - "interval": 21600, - "method": "mean" - }, - "sklearn.preprocessing.MinMaxScaler#1": { - "feature_range": [-1, 1] - }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { - "target_column": 0, - "window_size": 100 - }, - "orion.primitives.timeseries_preprocessing.slice_array_by_dims": { - "target_index": 0, - "axis": 2 - }, - "keras.Sequential.LSTMSeq2Seq#1": { - "epochs": 35, - "verbose": false, - "window_size": 100, - "input_shape": [100, 1], - "target_shape": [100, 1], - "layers": [ - { - "class": "keras.layers.CuDNNLSTM", - "parameters": { - "input_shape": "input_shape", - "units": 60 - } - }, - { - "class": "keras.layers.RepeatVector", - "parameters": { - "n": 100 - } - }, - { - "class": "keras.layers.CuDNNLSTM", - "parameters": { - "units": 60, - "return_sequences": true - } - }, - { - "class": "keras.layers.TimeDistributed", - "parameters": { - "layer": { - "class": "keras.layers.Dense", - "parameters": { - "units": 1 - } - } - } - }, - { - "class": "keras.layers.Reshape", - "parameters": { - "target_shape": "target_shape" - } - } - ] - }, - "orion.primitives.timeseries_anomalies.find_anomalies#1": { - "window_size_portion": 0.33, - "window_step_size_portion": 0.1, - "fixed_threshold": true - } - }, - "output_names": { - "keras.Sequential.LSTMSeq2Seq#1": { - "y": "y_hat" - }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { - "index": "X_index", - "target_index": "y_index" - } - } -} diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_gpu.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_gpu.json deleted file mode 100644 index 873e2ec4..00000000 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_gpu.json +++ /dev/null @@ -1,83 +0,0 @@ -{ - "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", - "sklearn.impute.SimpleImputer", - "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", - "keras.Sequential.LSTMTimeSeriesRegressor", - "orion.primitives.timeseries_errors.regression_errors", - "orion.primitives.timeseries_anomalies.find_anomalies" - ], - "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { - "time_column": "timestamp", - "interval": 21600 - }, - "sklearn.preprocessing.MinMaxScaler#1": { - "feature_range": [ - -1, - 1 - ] - }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { - "target_column": 0, - "window_size": 250 - }, - "keras.Sequential.LSTMTimeSeriesRegressor": { - "epochs": 35, - "verbose": false, - "layers": - [ - { - "class": "keras.layers.CuDNNLSTM", - "parameters": { - "input_shape": "input_shape", - "units": "lstm_1_units", - "return_sequences": true - } - }, - { - "class": "keras.layers.Dropout", - "parameters": { - "rate": "dropout_1_rate" - } - }, - { - "class": "keras.layers.CuDNNLSTM", - "parameters": { - "units": "lstm_2_units", - "return_sequences": false - } - }, - { - "class": "keras.layers.Dropout", - "parameters": { - "rate": "dropout_2_rate" - } - }, - { - "class": "keras.layers.Dense", - "parameters": { - "units": "dense_units", - "activation": "linear" - } - } - ] - }, - "orion.primitives.timeseries_anomalies.find_anomalies#1": { - "window_size_portion": 0.33, - "window_step_size_portion": 0.1, - "fixed_threshold": true - } - }, - "input_names": { - "orion.primitives.timeseries_anomalies.find_anomalies#1": { - "index": "target_index" - } - }, - "output_names": { - "keras.Sequential.LSTMTimeSeriesRegressor#1": { - "y": "y_hat" - } - } -} From c0bcfc91307b862201444d1681e7d0a399dac495 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Tue, 4 Apr 2023 09:18:49 -0400 Subject: [PATCH 23/31] Update latest dependencies (#404) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 2d65a291..60d08db4 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -5,7 +5,7 @@ azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 azure-core==1.26.3 beautifulsoup4==4.12.0 -botocore==1.29.99 +botocore==1.29.104 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.1.0 @@ -18,15 +18,15 @@ exceptiongroup==1.1.1 featuretools==0.22.0 fsspec==2023.1.0 gast==0.3.3 -google-auth==2.16.3 +google-auth==2.17.1 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 -grpcio==1.51.3 +grpcio==1.53.0 h5py==2.10.0 HeapDict==1.0.1 idna==3.4 -imageio==2.26.1 +imageio==2.27.0 importlib-metadata==6.1.0 iniconfig==2.0.0 invoke==2.0.0 @@ -60,7 +60,7 @@ packaging==23.0 pandas==1.3.5 partd==1.3.0 patsy==0.5.3 -Pillow==9.4.0 +Pillow==9.5.0 pluggy==1.0.0 prompt-toolkit==3.0.38 protobuf==3.20.3 @@ -73,7 +73,7 @@ pytest-cov==4.0.0 python-dateutil==2.8.2 python-louvain==0.13 pyts==0.10.0 -pytz==2023.2 +pytz==2023.3 PyWavelets==1.3.0 PyYAML==6.0 regex==2022.10.31 From 6710abb36b1de00ade79d134ac837a2150049f8a Mon Sep 17 00:00:00 2001 From: Na Rae Baek <93071842+BAN2ARU@users.noreply.github.com> Date: Fri, 7 Apr 2023 00:40:45 +0900 Subject: [PATCH 24/31] Revise timeseries_anomalies.py (#383) * revise timeseries_anomalies.py * revise timeseries_anomalies.py * fix tests --------- Co-authored-by: sarahmish --- orion/primitives/timeseries_anomalies.py | 1 + tests/primitives/test_timeseries_anomalies.py | 16 ++++++++-------- 2 files changed, 9 insertions(+), 8 deletions(-) diff --git a/orion/primitives/timeseries_anomalies.py b/orion/primitives/timeseries_anomalies.py index fb9390a2..da315d2c 100644 --- a/orion/primitives/timeseries_anomalies.py +++ b/orion/primitives/timeseries_anomalies.py @@ -137,6 +137,7 @@ def _find_threshold(errors, z_range): z, cost = best[0:2] if cost < best_cost: best_z = z[0] + best_cost = cost return mean + best_z * std diff --git a/tests/primitives/test_timeseries_anomalies.py b/tests/primitives/test_timeseries_anomalies.py index 67ce748d..469d7460 100644 --- a/tests/primitives/test_timeseries_anomalies.py +++ b/tests/primitives/test_timeseries_anomalies.py @@ -203,29 +203,29 @@ def test_find_anomalies_no_anomalies(self): self._run([0, 0, 0, 0], np.array([])) def test_find_anomalies_one_anomaly(self): - self._run([0, 0.5, 0.5, 0], np.array([[1., 4., 0.025]])) + self._run([0, 0.5, 0.5, 0], np.array([[1., 4., 0.5]])) def test_find_anomalies_open_start(self): - self._run([0.5, 0.5, 0, 0], np.array([[1., 3., 0.025]])) + self._run([0.5, 0.5, 0, 0], np.array([[1., 3., 0.5]])) def test_find_anomalies_open_end(self): - self._run([0, 0, 0.5, 0.5], np.array([[2., 4., 0.025]])) + self._run([0, 0, 0.5, 0.5], np.array([[2., 4., 0.5]])) def test_find_anomalies_two_anomalies(self): - self._run([0.5, 0, 0.5, 0], np.array([[1., 4., 0.025]])) - self._run([0, 0.5, 0, 0.5], np.array([[1., 4., 0.025]])) + self._run([0.5, 0, 0.5, 0], np.array([[1., 4., 0.5]])) + self._run([0, 0.5, 0, 0.5], np.array([[1., 4., 0.5]])) def test_find_anomalies_multiple_non_overlapping_thresholds(self): self._run([0, 0, 0.5, 0.5, 0, 0, 0.5, 0.5, 0, 0], - np.array([[2., 4., 0.025], [6., 8., 0.025]]), index=self.INDEX_LONG, + np.array([[2., 4., 0.5], [6., 8., 0.5]]), index=self.INDEX_LONG, window_size=4, window_step_size=4) def test_find_anomalies_multiple_overlapping_thresholds(self): - self._run([0, 0, 0.5, 0.5, 0, 0, 0.5, 0.5, 0, 0], np.array([[2., 9., 0.025]]), + self._run([0, 0, 0.5, 0.5, 0, 0, 0.5, 0.5, 0, 0], np.array([[2., 9., 0.5]]), index=self.INDEX_LONG, window_size=4, window_step_size=2) def test_find_anomalies_lower_threshold(self): - self._run([0.5, 0.5, 0, 0], np.array([[1., 4., 0.025]]), lower_threshold=True) + self._run([0.5, 0.5, 0, 0], np.array([[1., 4., 0.5]]), lower_threshold=True) def test_find_anomalies_fixed_threshold(self): self._run([0.5, 0.5, 0, 0], np.array([]), fixed_threshold=True) From 0dcbdb47526505bc781b9bd1c33012df80479c06 Mon Sep 17 00:00:00 2001 From: DAILab-bot <101208576+DAILab-bot@users.noreply.github.com> Date: Tue, 11 Apr 2023 01:22:39 -0400 Subject: [PATCH 25/31] Update latest dependencies (#407) Co-authored-by: sarahmish --- tests/requirement_files/latest_requirements.txt | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/tests/requirement_files/latest_requirements.txt b/tests/requirement_files/latest_requirements.txt index 60d08db4..0d715b82 100644 --- a/tests/requirement_files/latest_requirements.txt +++ b/tests/requirement_files/latest_requirements.txt @@ -1,24 +1,23 @@ absl-py==1.4.0 astunparse==1.6.3 -attrs==22.2.0 azure-cognitiveservices-anomalydetector==0.3.0 azure-common==1.1.28 -azure-core==1.26.3 -beautifulsoup4==4.12.0 -botocore==1.29.104 +azure-core==1.26.4 +beautifulsoup4==4.12.2 +botocore==1.29.109 cachetools==5.3.0 certifi==2022.12.7 charset-normalizer==3.1.0 click==7.1.2 cloudpickle==2.2.1 -coverage==7.2.2 +coverage==7.2.3 dask==2022.2.0 distributed==2022.2.0 exceptiongroup==1.1.1 featuretools==0.22.0 fsspec==2023.1.0 gast==0.3.3 -google-auth==2.17.1 +google-auth==2.17.2 google-auth-oauthlib==0.4.6 google-pasta==0.2.0 graphviz==0.20.1 @@ -27,7 +26,7 @@ h5py==2.10.0 HeapDict==1.0.1 idna==3.4 imageio==2.27.0 -importlib-metadata==6.1.0 +importlib-metadata==6.2.1 iniconfig==2.0.0 invoke==2.0.0 iso639==0.1.4 @@ -68,7 +67,7 @@ psutil==5.9.4 pyasn1==0.4.8 pyasn1-modules==0.2.8 Pygments==2.14.0 -pytest==7.2.2 +pytest==7.3.0 pytest-cov==4.0.0 python-dateutil==2.8.2 python-louvain==0.13 From 6d5f0732b093642a65edc5d69c6fc4f2cb752d37 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Wed, 12 Apr 2023 16:11:19 -0400 Subject: [PATCH 26/31] Update model.py --- tutorials/tulog/model.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tutorials/tulog/model.py b/tutorials/tulog/model.py index 0dafdfa3..3b83d1aa 100644 --- a/tutorials/tulog/model.py +++ b/tutorials/tulog/model.py @@ -112,7 +112,7 @@ } }, { - "class": "keras.layers.advanced_activations.LeakyReLU", + "class": "keras.layers.LeakyReLU", "parameters": { "alpha": 0.2 } @@ -131,7 +131,7 @@ } }, { - "class": "keras.layers.advanced_activations.LeakyReLU", + "class": "keras.layers.LeakyReLU", "parameters": { "alpha": 0.2 } @@ -150,7 +150,7 @@ } }, { - "class": "keras.layers.advanced_activations.LeakyReLU", + "class": "keras.layers.LeakyReLU", "parameters": { "alpha": 0.2 } @@ -169,7 +169,7 @@ } }, { - "class": "keras.layers.advanced_activations.LeakyReLU", + "class": "keras.layers.LeakyReLU", "parameters": { "alpha": 0.2 } @@ -204,7 +204,7 @@ } }, { - "class": "keras.layers.advanced_activations.LeakyReLU", + "class": "keras.layers.LeakyReLU", "parameters": { "alpha": 0.2 } @@ -222,7 +222,7 @@ } }, { - "class": "keras.layers.advanced_activations.LeakyReLU", + "class": "keras.layers.LeakyReLU", "parameters": { "alpha": 0.2 } @@ -257,4 +257,4 @@ "layers_generator": generator, "layers_critic_x": criticX, "layers_critic_z": criticZ -} \ No newline at end of file +} From a55f17b006ac1ac1006f9282eeebb7f171f8aff7 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Wed, 12 Apr 2023 19:19:58 -0400 Subject: [PATCH 27/31] update tulog --- tutorials/tulog/model.py | 44 ++++++----- tutorials/tulog/tadgan.json | 145 +++++++++++++++++++++++++++++------- 2 files changed, 144 insertions(+), 45 deletions(-) diff --git a/tutorials/tulog/model.py b/tutorials/tulog/model.py index 3b83d1aa..1d4b0ba5 100644 --- a/tutorials/tulog/model.py +++ b/tutorials/tulog/model.py @@ -2,15 +2,15 @@ encoder = [ { - "class": "keras.layers.Bidirectional", + "class": "tensorflow.keras.layers.LSTM", "parameters": { - "layer": { - "class": "keras.layers.LSTM", - "parameters": { - "units": 100, - "return_sequences": True - } - } + "units": 100, + "return_sequences": True, + "activation": "tanh", + "recurrent_activation": "sigmoid", + "use_bias": True, + "recurrent_dropout": 0.0, + "unroll": False } }, { @@ -49,15 +49,19 @@ } }, { - "class": "keras.layers.Bidirectional", + "class": "tensorflow.keras.layers.Bidirectional", "parameters": { "layer": { - "class": "keras.layers.LSTM", + "class": "tensorflow.keras.layers.LSTM", "parameters": { "units": 64, "return_sequences": True, "dropout": 0.2, - "recurrent_dropout": 0.2 + "activation": "tanh", + "recurrent_activation": "sigmoid", + "use_bias": True, + "recurrent_dropout": 0.0, + "unroll": False } }, "merge_mode": "concat" @@ -70,15 +74,19 @@ } }, { - "class": "keras.layers.Bidirectional", + "class": "tensorflow.keras.layers.Bidirectional", "parameters": { "layer": { - "class": "keras.layers.LSTM", - "parameters": { - "units": 64, - "return_sequences": True, - "dropout": 0.2, - "recurrent_dropout": 0.2 + "class": "tensorflow.keras.layers.LSTM", + "parameters": { + "units": 64, + "return_sequences": True, + "dropout": 0.2, + "activation": "tanh", + "recurrent_activation": "sigmoid", + "use_bias": True, + "recurrent_dropout": 0.0, + "unroll": True } }, "merge_mode": "concat" diff --git a/tutorials/tulog/tadgan.json b/tutorials/tulog/tadgan.json index a767e691..4db5fe68 100644 --- a/tutorials/tulog/tadgan.json +++ b/tutorials/tulog/tadgan.json @@ -12,7 +12,7 @@ "init_params": { "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", - "interval": 1800, + "interval": 21600, "method": "mean" }, "sklearn.preprocessing.MinMaxScaler#1": { @@ -31,11 +31,124 @@ "axis": 2 }, "orion.primitives.tadgan.TadGAN#1": { - "epochs": 5 + "epochs": 5, + "layers_encoder": [ + { + "class": "tensorflow.keras.layers.Bidirectional", + "parameters": { + "layer": { + "class": "tensorflow.keras.layers.LSTM", + "parameters": { + "units": "lstm_units", + "return_sequences": true, + "activation": "tanh", + "recurrent_activation": "sigmoid", + "use_bias": true, + "recurrent_dropout": 0.0, + "unroll": false + } + } + } + }, + { + "class": "tensorflow.keras.layers.Flatten", + "parameters": {} + }, + { + "class": "tensorflow.keras.layers.Dense", + "parameters": { + "units": "dense_units" + } + }, + { + "class": "tensorflow.keras.layers.Reshape", + "parameters": { + "target_shape": "encoder_reshape_shape" + } + } + ], + "layers_generator": [ + { + "class": "tensorflow.keras.layers.Flatten", + "parameters": {} + }, + { + "class": "tensorflow.keras.layers.Dense", + "parameters": { + "units": "generator_reshape_dim" + } + }, + { + "class": "tensorflow.keras.layers.Reshape", + "parameters": { + "target_shape": "generator_reshape_shape" + } + }, + { + "class": "tensorflow.keras.layers.Bidirectional", + "parameters": { + "layer": { + "class": "tensorflow.keras.layers.LSTM", + "parameters": { + "units": 64, + "return_sequences": true, + "dropout": 0.2, + "activation": "tanh", + "recurrent_activation": "sigmoid", + "use_bias": true, + "recurrent_dropout": 0.0, + "unroll": false + } + }, + "merge_mode": "concat" + } + }, + { + "class": "tensorflow.keras.layers.UpSampling1D", + "parameters": { + "size": 2 + } + }, + { + "class": "tensorflow.keras.layers.Bidirectional", + "parameters": { + "layer": { + "class": "tensorflow.keras.layers.LSTM", + "parameters": { + "units": 64, + "return_sequences": true, + "dropout": 0.2, + "activation": "tanh", + "recurrent_activation": "sigmoid", + "use_bias": true, + "recurrent_dropout": 0.0, + "unroll": false + } + }, + "merge_mode": "concat" + } + }, + { + "class": "tensorflow.keras.layers.TimeDistributed", + "parameters": { + "layer": { + "class": "tensorflow.keras.layers.Dense", + "parameters": { + "units": 1 + } + } + } + }, + { + "class": "tensorflow.keras.layers.Activation", + "parameters": { + "activation": "tanh" + } + } + ] }, "orion.primitives.tadgan.score_anomalies#1": { - "error_smooth_window": 200, - "critic_smooth_window": 200 + "rec_error_type": "dtw" }, "orion.primitives.timeseries_anomalies.find_anomalies#1": { "window_size_portion": 0.33, @@ -56,27 +169,5 @@ "index": "X_index", "target_index": "y_index" } - }, - "outputs": { - "default": [ - { - "name": "events", - "variable": "orion.primitives.timeseries_anomalies.find_anomalies#1.y" - } - ], - "visualization": [ - { - "name": "X", - "variable": "sklearn.preprocessing.MinMaxScaler#1.X" - }, - { - "name": "X_hat", - "variable": "orion.primitives.tadgan.TadGAN#1.y_hat" - }, - { - "name": "es", - "variable": "orion.primitives.tadgan.score_anomalies#1.errors" - } - ] } -} +} \ No newline at end of file From 601b1d4a1edce663b7e87501f59ae0b4d15fe531 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish <40212131+sarahmish@users.noreply.github.com> Date: Fri, 19 May 2023 11:44:36 -0400 Subject: [PATCH 28/31] Migrate to `ml-stars` (#418) * update readme * change mlprimitives to mlstars * change s3 bucket * fix mlstars import * add tqdm to requirements * fix imports * change tutorials to mlstars * update ml-stars * fix order * update mlstars --- README.md | 65 +++++++++++-------- .../primitives_pipelines/pipelines.rst | 4 +- .../primitives_pipelines/primitives.rst | 2 +- .../primitives_pipelines/primitives/AER.rst | 2 +- .../primitives/DenseSeq2Seq.rst | 2 +- .../primitives/LSTMSeq2Seq.rst | 2 +- .../primitives/LSTMTimeSeriesRegressor.rst | 4 +- .../primitives/MinMaxScaler.rst | 4 +- .../primitives/SimpleImputer.rst | 4 +- .../primitives/TadGAN.rst | 2 +- .../primitives_pipelines/primitives/VAE.rst | 2 +- .../primitives_pipelines/primitives/arima.rst | 4 +- .../primitives/fillna.rst | 2 +- .../primitives/find_anomalies.rst | 2 +- .../primitives/intervals_to_mask.rst | 8 +-- .../primitives/reconstruction_errors.rst | 2 +- .../primitives/regression_errors.rst | 2 +- .../primitives/rolling_window_sequences.rst | 8 +-- .../primitives/score_anomalies.rst | 2 +- .../primitives/time_segments_aggregate.rst | 8 +-- orion/benchmark.py | 2 +- orion/data.py | 2 +- orion/pipelines/verified/aer/aer.json | 10 +-- .../aer/aer_artificialwithanomaly.json | 2 +- orion/pipelines/verified/aer/aer_msl.json | 2 +- .../verified/aer/aer_realadexchange.json | 2 +- .../verified/aer/aer_realawscloudwatch.json | 2 +- .../verified/aer/aer_realtraffic.json | 2 +- .../verified/aer/aer_realtweets.json | 2 +- orion/pipelines/verified/aer/aer_smap.json | 2 +- orion/pipelines/verified/aer/aer_viz.json | 10 +-- orion/pipelines/verified/aer/aer_yahooa1.json | 2 +- orion/pipelines/verified/aer/aer_yahooa2.json | 2 +- orion/pipelines/verified/aer/aer_yahooa3.json | 2 +- orion/pipelines/verified/aer/aer_yahooa4.json | 2 +- orion/pipelines/verified/arima/arima.json | 8 +-- .../arima/arima_artificialwithanomaly.json | 4 +- orion/pipelines/verified/arima/arima_msl.json | 4 +- .../verified/arima/arima_realadexchange.json | 4 +- .../arima/arima_realawscloudwatch.json | 4 +- .../verified/arima/arima_realtraffic.json | 4 +- .../verified/arima/arima_realtweets.json | 4 +- .../pipelines/verified/arima/arima_smap.json | 4 +- .../verified/arima/arima_yahooa1.json | 4 +- .../verified/arima/arima_yahooa2.json | 4 +- .../verified/arima/arima_yahooa3.json | 4 +- .../verified/arima/arima_yahooa4.json | 4 +- orion/pipelines/verified/azure/azure.json | 4 +- .../azure/azure_artificialwithanomaly.json | 2 +- orion/pipelines/verified/azure/azure_msl.json | 2 +- .../verified/azure/azure_realadexchange.json | 2 +- .../azure/azure_realawscloudwatch.json | 2 +- .../verified/azure/azure_realtraffic.json | 2 +- .../verified/azure/azure_realtweets.json | 2 +- .../pipelines/verified/azure/azure_smap.json | 2 +- .../verified/azure/azure_yahooa1.json | 2 +- .../verified/azure/azure_yahooa2.json | 2 +- .../verified/azure/azure_yahooa3.json | 2 +- .../verified/azure/azure_yahooa4.json | 2 +- .../dense_autoencoder/dense_autoencoder.json | 10 +-- ...nse_autoencoder_artificialwithanomaly.json | 2 +- .../dense_autoencoder_msl.json | 2 +- .../dense_autoencoder_realadexchange.json | 2 +- .../dense_autoencoder_realawscloudwatch.json | 2 +- .../dense_autoencoder_realtraffic.json | 2 +- .../dense_autoencoder_realtweets.json | 2 +- .../dense_autoencoder_smap.json | 2 +- .../dense_autoencoder_yahooa1.json | 2 +- .../dense_autoencoder_yahooa2.json | 2 +- .../dense_autoencoder_yahooa3.json | 2 +- .../dense_autoencoder_yahooa4.json | 2 +- .../lstm_autoencoder/lstm_autoencoder.json | 10 +-- ...stm_autoencoder_artificialwithanomaly.json | 2 +- .../lstm_autoencoder_msl.json | 2 +- .../lstm_autoencoder_realadexchange.json | 2 +- .../lstm_autoencoder_realawscloudwatch.json | 2 +- .../lstm_autoencoder_realtraffic.json | 2 +- .../lstm_autoencoder_realtweets.json | 2 +- .../lstm_autoencoder_smap.json | 2 +- .../lstm_autoencoder_yahooa1.json | 2 +- .../lstm_autoencoder_yahooa2.json | 2 +- .../lstm_autoencoder_yahooa3.json | 2 +- .../lstm_autoencoder_yahooa4.json | 2 +- .../lstm_dynamic_threshold.json | 8 +-- ...namic_threshold_artificialwithanomaly.json | 4 +- .../lstm_dynamic_threshold_msl.json | 4 +- ...lstm_dynamic_threshold_realadexchange.json | 4 +- ...m_dynamic_threshold_realawscloudwatch.json | 4 +- .../lstm_dynamic_threshold_realtraffic.json | 4 +- .../lstm_dynamic_threshold_realtweets.json | 4 +- .../lstm_dynamic_threshold_smap.json | 4 +- .../lstm_dynamic_threshold_viz.json | 8 +-- .../lstm_dynamic_threshold_yahooa1.json | 4 +- .../lstm_dynamic_threshold_yahooa2.json | 4 +- .../lstm_dynamic_threshold_yahooa3.json | 4 +- .../lstm_dynamic_threshold_yahooa4.json | 4 +- .../lstm_dynamic_threshold/mean_24h_lstm.json | 8 +-- .../median_24h_lstm.json | 8 +-- .../lstm_dynamic_threshold/skew_24h_lstm.json | 8 +-- .../lstm_dynamic_threshold/sum_24h_lstm.json | 8 +-- orion/pipelines/verified/tadgan/tadgan.json | 10 +-- .../tadgan/tadgan_artificialwithanomaly.json | 2 +- .../pipelines/verified/tadgan/tadgan_msl.json | 2 +- .../tadgan/tadgan_realadexchange.json | 2 +- .../tadgan/tadgan_realawscloudwatch.json | 2 +- .../verified/tadgan/tadgan_realtraffic.json | 2 +- .../verified/tadgan/tadgan_realtweets.json | 2 +- .../verified/tadgan/tadgan_smap.json | 2 +- .../pipelines/verified/tadgan/tadgan_viz.json | 10 +-- .../tadgan/tadgan_without_dropout_gpu.json | 10 +-- .../verified/tadgan/tadgan_yahooa1.json | 2 +- .../verified/tadgan/tadgan_yahooa2.json | 2 +- .../verified/tadgan/tadgan_yahooa3.json | 2 +- .../verified/tadgan/tadgan_yahooa4.json | 2 +- orion/pipelines/verified/vae/vae.json | 10 +-- .../vae/vae_artificialwithanomaly.json | 2 +- orion/pipelines/verified/vae/vae_msl.json | 2 +- .../verified/vae/vae_realadexchange.json | 2 +- .../verified/vae/vae_realawscloudwatch.json | 2 +- .../verified/vae/vae_realtraffic.json | 2 +- .../verified/vae/vae_realtweets.json | 2 +- orion/pipelines/verified/vae/vae_smap.json | 2 +- orion/pipelines/verified/vae/vae_viz.json | 12 ++-- orion/pipelines/verified/vae/vae_yahooa1.json | 2 +- orion/pipelines/verified/vae/vae_yahooa2.json | 2 +- orion/pipelines/verified/vae/vae_yahooa3.json | 2 +- orion/pipelines/verified/vae/vae_yahooa4.json | 2 +- orion/primitives/aer.py | 2 +- .../jsons/keras.Sequential.DenseSeq2Seq.json | 2 +- .../jsons/keras.Sequential.LSTMSeq2Seq.json | 2 +- orion/primitives/tadgan.py | 2 +- orion/primitives/timeseries_errors.py | 2 +- orion/primitives/vae.py | 2 +- setup.py | 3 +- tests/test_analysis.py | 4 +- tests/test_data.py | 2 +- tutorials/Multivariate_Input.ipynb | 10 +-- tutorials/pipelines/azure.ipynb | 6 +- .../pipelines/lstm_dynamic_threshold.ipynb | 18 ++--- tutorials/tulog/Tulog.ipynb | 8 +-- tutorials/tulog/tadgan.json | 10 +-- 141 files changed, 293 insertions(+), 287 deletions(-) diff --git a/README.md b/README.md index 84782817..66674b39 100644 --- a/README.md +++ b/README.md @@ -18,14 +18,13 @@ A machine learning library for unsupervised time series anomaly detection. -| Important Links | | -| ----------------------------------- | -------------------------------------------------------------------- | -| :computer: **[Website]** | Check out the Sintel Website for more information about the project. | -| :book: **[Documentation]** | Quickstarts, User and Development Guides, and API Reference. | -| :star: **[Tutorials]** | Checkout our notebooks | -| :octocat: **[Repository]** | The link to the Github Repository of this library. | -| :scroll: **[License]** | The repository is published under the MIT License. | -| :keyboard: **[Development Status]** | This software is in its Pre-Alpha stage. | +| Important Links | | +| --------------------------------------------- | -------------------------------------------------------------------- | +| :computer: **[Website]** | Check out the Sintel Website for more information about the project. | +| :book: **[Documentation]** | Quickstarts, User and Development Guides, and API Reference. | +| :star: **[Tutorials]** | Checkout our notebooks | +| :octocat: **[Repository]** | The link to the Github Repository of this library. | +| :scroll: **[License]** | The repository is published under the MIT License. | | [![][Slack Logo] **Community**][Community] | Join our Slack Workspace for announcements and discussions. | [Website]: https://sintel.dev/ @@ -33,7 +32,6 @@ A machine learning library for unsupervised time series anomaly detection. [Tutorials]: https://github.com/sintel-dev/Orion/tree/master/tutorials [Repository]: https://github.com/sintel-dev/Orion [License]: https://github.com/sintel-dev/Orion/blob/master/LICENSE -[Development Status]: https://pypi.org/search/?c=Development+Status+%3A%3A+2+-+Pre-Alpha [Community]: https://join.slack.com/t/sintel-space/shared_invite/zt-q147oimb-4HcphcxPfDAM0O9_4PaUtw [Slack Logo]: https://github.com/sintel-dev/Orion/blob/master/docs/images/slack.png @@ -87,20 +85,20 @@ which should show a signal with `timestamp` and `value`. 4 1222905600 -0.370746 ``` -In this example we use `lstm_dynamic_threshold` pipeline and set some hyperparameters (in this case training epochs as 5). +In this example we use `aer` pipeline and set some hyperparameters (in this case training epochs as 5). ```python3 from orion import Orion hyperparameters = { - 'keras.Sequential.LSTMTimeSeriesRegressor#1': { + 'orion.primitives.aer.AER#1': { 'epochs': 5, 'verbose': True } } orion = Orion( - pipeline='lstm_dynamic_threshold', + pipeline='aer', hyperparameters=hyperparameters ) @@ -136,8 +134,8 @@ We run the benchmark on **11** datasets with their known grounth truth. We recor | LSTM Autoencoder | 6 | | Dense Autoencoder | 6 | | VAE | 7 | -| GANF | 6 | -| Azure | 0 | +| [GANF](https://arxiv.org/pdf/2202.07857.pdf) | 6 | +| [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/anomaly-detector/) | 0 | You can find the scores of each pipeline on every signal recorded in the [details Google Sheets document](https://docs.google.com/spreadsheets/d/1HaYDjY-BEXEObbi65fwG0om5d8kbRarhpK4mvOZVmqU/edit?usp=sharing). The summarized results can also be browsed in the following [summary Google Sheets document](https://docs.google.com/spreadsheets/d/1ZPUwYH8LhDovVeuJhKYGXYny7472HXVCzhX6D6PObmg/edit?usp=sharing). @@ -151,24 +149,22 @@ Additional resources that might be of interest: # Citation -If you use **Orion** which is part of the **Sintel** ecosystem for your research, please consider citing the following paper: +If you use **AER** for your research, please consider citing the following paper: + +Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni. [AER: Auto-Encoder with Regression for Time Series Anomaly Detection](https://arxiv.org/pdf/2212.13558.pdf). -Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni. [Sintel: A Machine Learning Framework to Extract Insights from Signals](https://dl.acm.org/doi/pdf/10.1145/3514221.3517910). ``` -@inproceedings{alnegheimish2022sintel, - title={Sintel: A Machine Learning Framework to Extract Insights from Signals}, - author={Alnegheimish, Sarah and Liu, Dongyu and Sala, Carles and Berti-Equille, Laure and Veeramachaneni, Kalyan}, - booktitle={Proceedings of the 2022 International Conference on Management of Data}, - pages = {1855–1865}, - numpages = {11}, - publisher={Association for Computing Machinery}, - doi = {10.1145/3514221.3517910}, - series = {SIGMOD '22}, +@inproceedings{wong2022aer, + title={AER: Auto-Encoder with Regression for Time Series Anomaly Detection}, + author={Wong, Lawrence and Liu, Dongyu and Berti-Equille, Laure and Alnegheimish, Sarah and Veeramachaneni, Kalyan}, + booktitle={2022 IEEE International Conference on Big Data (IEEE BigData)}, + pages={1152-1161}, + doi={10.1109/BigData55660.2022.10020857}, + organization={IEEE}, year={2022} } ``` - If you use **TadGAN** for your research, please consider citing the following paper: Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni. [TadGAN - Time Series Anomaly Detection Using Generative Adversarial Networks](https://arxiv.org/pdf/2009.07769v3.pdf). @@ -184,3 +180,20 @@ Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan year={2020} } ``` + +If you use **Orion** which is part of the **Sintel** ecosystem for your research, please consider citing the following paper: + +Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Equille, Kalyan Veeramachaneni. [Sintel: A Machine Learning Framework to Extract Insights from Signals](https://dl.acm.org/doi/pdf/10.1145/3514221.3517910). +``` +@inproceedings{alnegheimish2022sintel, + title={Sintel: A Machine Learning Framework to Extract Insights from Signals}, + author={Alnegheimish, Sarah and Liu, Dongyu and Sala, Carles and Berti-Equille, Laure and Veeramachaneni, Kalyan}, + booktitle={Proceedings of the 2022 International Conference on Management of Data}, + pages={1855–1865}, + numpages={11}, + publisher={Association for Computing Machinery}, + doi={10.1145/3514221.3517910}, + series={SIGMOD '22}, + year={2022} +} +``` diff --git a/docs/user_guides/primitives_pipelines/pipelines.rst b/docs/user_guides/primitives_pipelines/pipelines.rst index e537533d..3a768077 100644 --- a/docs/user_guides/primitives_pipelines/pipelines.rst +++ b/docs/user_guides/primitives_pipelines/pipelines.rst @@ -8,7 +8,7 @@ The main component in the Orion project are the **Orion Pipelines**, which consi As ``MLPipeline`` instances, **Orion Pipelines**: -* consist of a list of one or more `MLPrimitives `__ +* consist of a list of one or more `mlstars `__ * can be *fitted* on some data and later on used to *predict* anomalies on more data * can be *scored* by comparing their predictions with some known anomalies * have *hyperparameters* that can be *tuned* to improve their anomaly detection performance @@ -153,7 +153,7 @@ Since pipelines are composed of :ref:`primitives`, you can discover the interpre "value": np.random.randint(0, 10, 500)}) hyperparameters = { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "interval": 300 }, 'keras.Sequential.LSTMTimeSeriesRegressor#1': { diff --git a/docs/user_guides/primitives_pipelines/primitives.rst b/docs/user_guides/primitives_pipelines/primitives.rst index e83f57a7..027cff7e 100644 --- a/docs/user_guides/primitives_pipelines/primitives.rst +++ b/docs/user_guides/primitives_pipelines/primitives.rst @@ -4,7 +4,7 @@ Primitives ========== -Primitives are data processing units. They are defined by the code that performs the actual processing and an annotated ``json`` file. To read more about primitives and their composition, visit `MLPrimitives `__. +Primitives are data processing units. They are defined by the code that performs the actual processing and an annotated ``json`` file. To read more about primitives and their composition, visit `mlstars `__. Preprocessing ------------- diff --git a/docs/user_guides/primitives_pipelines/primitives/AER.rst b/docs/user_guides/primitives_pipelines/primitives/AER.rst index fc92b66a..3f0e6d19 100644 --- a/docs/user_guides/primitives_pipelines/primitives/AER.rst +++ b/docs/user_guides/primitives_pipelines/primitives/AER.rst @@ -40,7 +40,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.ones((64, 100, 1)) y = X[:,:, [0]] # signal to reconstruct from X (channel 0) diff --git a/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst b/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst index 93f6c433..ee7be16d 100644 --- a/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst +++ b/docs/user_guides/primitives_pipelines/primitives/DenseSeq2Seq.rst @@ -47,7 +47,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) diff --git a/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst b/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst index 00c71578..dd3c1516 100644 --- a/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst +++ b/docs/user_guides/primitives_pipelines/primitives/LSTMSeq2Seq.rst @@ -49,7 +49,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) diff --git a/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst b/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst index 1f16be70..d5ca166f 100644 --- a/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst +++ b/docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst @@ -7,7 +7,7 @@ LSTM **description**: this is a prediction model with double stacked LSTM layers used as a time series regressor. you can read more about it in the `related paper `__. -see `json `__. +see `json `__. ====================== =================== =========================================================================================================================================== argument type description @@ -48,7 +48,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) y = np.array([[1]]) diff --git a/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst b/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst index 6cb9d1b8..d31e4b74 100644 --- a/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst +++ b/docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst @@ -7,7 +7,7 @@ MinMaxScaler **description**: this primitive transforms features by scaling each feature to a given range. -see `json `__. +see `json `__. ==================== =================== ============================================================================================================= argument type description @@ -33,7 +33,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array(range(5)).reshape(-1, 1) primitive = load_primitive('sklearn.preprocessing.MinMaxScaler', diff --git a/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst b/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst index c59f4f78..000992e0 100644 --- a/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst +++ b/docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst @@ -7,7 +7,7 @@ SimpleImputer **description**: this primitive is an imputation transformer for filling missing values. -see `json `__. +see `json `__. ==================== ========================================================= ========================================== argument type description @@ -35,7 +35,7 @@ argument type :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 4 + [np.nan]).reshape(-1, 1) primitive = load_primitive('sklearn.impute.SimpleImputer', diff --git a/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst b/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst index 7d418023..baf4a7f0 100644 --- a/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst +++ b/docs/user_guides/primitives_pipelines/primitives/TadGAN.rst @@ -44,7 +44,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) y = X[:,:, [0]] # signal to reconstruct from X (channel 0) diff --git a/docs/user_guides/primitives_pipelines/primitives/VAE.rst b/docs/user_guides/primitives_pipelines/primitives/VAE.rst index c9cbdcfd..590d2f5e 100644 --- a/docs/user_guides/primitives_pipelines/primitives/VAE.rst +++ b/docs/user_guides/primitives_pipelines/primitives/VAE.rst @@ -46,7 +46,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 100).reshape(1, -1, 1) diff --git a/docs/user_guides/primitives_pipelines/primitives/arima.rst b/docs/user_guides/primitives_pipelines/primitives/arima.rst index 8ed8c927..0c95e9c1 100644 --- a/docs/user_guides/primitives_pipelines/primitives/arima.rst +++ b/docs/user_guides/primitives_pipelines/primitives/arima.rst @@ -7,7 +7,7 @@ ARIMA **description**: this is an Autoregressive Integrated Moving Average (ARIMA) prediction model. -see `json `__. +see `json `__. ==================== =================== ================================================================== argument type description @@ -35,7 +35,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array(range(100)).reshape(-1, 1) primitive = load_primitive('statsmodels.tsa.arima_model.Arima', diff --git a/docs/user_guides/primitives_pipelines/primitives/fillna.rst b/docs/user_guides/primitives_pipelines/primitives/fillna.rst index 03b7cdd7..df818375 100644 --- a/docs/user_guides/primitives_pipelines/primitives/fillna.rst +++ b/docs/user_guides/primitives_pipelines/primitives/fillna.rst @@ -35,7 +35,7 @@ argument type :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive X = np.array([1] * 4 + [np.nan]).reshape(-1, 1) primitive = load_primitive('orion.primitives.timeseries_preprocessing.fillna', diff --git a/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst b/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst index 4783dd73..6ac0b5ef 100644 --- a/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst +++ b/docs/user_guides/primitives_pipelines/primitives/find_anomalies.rst @@ -39,7 +39,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive primitive = load_primitive('orion.primitives.timeseries_anomalies.find_anomalies', arguments={"anomaly_padding": 1}) diff --git a/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst b/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst index ded94c65..6e1c4431 100644 --- a/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst +++ b/docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst @@ -3,11 +3,11 @@ intervals to mask ~~~~~~~~~~~~~~~~~ -**path**: ``mlprimitives.custom.timeseries_preprocessing.intervals_to_mask`` +**path**: ``mlstars.custom.timeseries_preprocessing.intervals_to_mask`` **description**: this primitive creates boolean mask from given intervals. -see `json `__. +see `json `__. ==================== =============================== ================================================================================================================================= argument type description @@ -28,9 +28,9 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive - primitive = load_primitive('mlprimitives.custom.timeseries_preprocessing.intervals_to_mask') + primitive = load_primitive('mlstars.custom.timeseries_preprocessing.intervals_to_mask') index = np.array(range(10)) intervals = [(1, 3), (7, 7)] diff --git a/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst b/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst index b6df2ad5..2ae7a8fd 100644 --- a/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst +++ b/docs/user_guides/primitives_pipelines/primitives/reconstruction_errors.rst @@ -38,7 +38,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive primitive = load_primitive('orion.primitives.timeseries_errors.reconstruction_errors') y = np.array([[1]] * 100) diff --git a/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst b/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst index 00599cf6..1fc751b8 100644 --- a/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst +++ b/docs/user_guides/primitives_pipelines/primitives/regression_errors.rst @@ -37,7 +37,7 @@ argument type description :okwarning: import numpy as np - from mlprimitives import load_primitive + from mlstars import load_primitive primitive = load_primitive('orion.primitives.timeseries_errors.regression_errors') y = np.array([[1]] * 100) diff --git a/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst b/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst index b65e61bd..14656f43 100644 --- a/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst +++ b/docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst @@ -3,11 +3,11 @@ rolling window sequence ~~~~~~~~~~~~~~~~~~~~~~~ -**path**: ``mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences`` +**path**: ``mlstars.custom.timeseries_preprocessing.rolling_window_sequences`` **description**: this primitive generates many sub-sequences of the original sequence. it uses a rolling window approach to create the sub-sequences out of time series data. -see `json `__. +see `json `__. ==================== ============================================================== ================================================================== argument type description @@ -41,9 +41,9 @@ see `json `__. +see `json `__. ==================== =========================================== ============================================================================================================================= argument type description @@ -28,9 +28,9 @@ argument type description .. ipython:: python :okwarning: - from mlprimitives import load_primitive + from mlstars import load_primitive - primitive = load_primitive('mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate', + primitive = load_primitive('mlstars.custom.timeseries_preprocessing.time_segments_aggregate', arguments={"time_column": "timestamp", "interval":10, "method":'mean'}) df = pd.DataFrame({ diff --git a/orion/benchmark.py b/orion/benchmark.py index 3108f51d..99b733c9 100644 --- a/orion/benchmark.py +++ b/orion/benchmark.py @@ -28,7 +28,7 @@ LOGGER = logging.getLogger(__name__) -BUCKET = 'd3-ai-orion' +BUCKET = 'sintel-orion' S3_URL = 'https://{}.s3.amazonaws.com/{}' BENCHMARK_PATH = os.path.join(os.path.join( diff --git a/orion/data.py b/orion/data.py index 1be8bc35..4afdedc6 100644 --- a/orion/data.py +++ b/orion/data.py @@ -24,7 +24,7 @@ os.path.dirname(os.path.abspath(__file__)), 'data' ) -BUCKET = 'd3-ai-orion' +BUCKET = 'sintel-orion' S3_URL = 'https://{}.s3.amazonaws.com/{}' NASA_SIGNALS = ( diff --git a/orion/pipelines/verified/aer/aer.json b/orion/pipelines/verified/aer/aer.json index 2c3479a1..e0c8b918 100644 --- a/orion/pipelines/verified/aer/aer.json +++ b/orion/pipelines/verified/aer/aer.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.aer.AER", "orion.primitives.aer.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ } }, "output_names": { - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/aer/aer_artificialwithanomaly.json b/orion/pipelines/verified/aer/aer_artificialwithanomaly.json index e30ca453..cd049716 100644 --- a/orion/pipelines/verified/aer/aer_artificialwithanomaly.json +++ b/orion/pipelines/verified/aer/aer_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_msl.json b/orion/pipelines/verified/aer/aer_msl.json index 0163c11c..ac14cfec 100644 --- a/orion/pipelines/verified/aer/aer_msl.json +++ b/orion/pipelines/verified/aer/aer_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realadexchange.json b/orion/pipelines/verified/aer/aer_realadexchange.json index d56739fc..a41eb356 100644 --- a/orion/pipelines/verified/aer/aer_realadexchange.json +++ b/orion/pipelines/verified/aer/aer_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realawscloudwatch.json b/orion/pipelines/verified/aer/aer_realawscloudwatch.json index 21d489a9..7e286ec0 100644 --- a/orion/pipelines/verified/aer/aer_realawscloudwatch.json +++ b/orion/pipelines/verified/aer/aer_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realtraffic.json b/orion/pipelines/verified/aer/aer_realtraffic.json index e30ca453..cd049716 100644 --- a/orion/pipelines/verified/aer/aer_realtraffic.json +++ b/orion/pipelines/verified/aer/aer_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_realtweets.json b/orion/pipelines/verified/aer/aer_realtweets.json index 7f42b5fd..aaf67f67 100644 --- a/orion/pipelines/verified/aer/aer_realtweets.json +++ b/orion/pipelines/verified/aer/aer_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_smap.json b/orion/pipelines/verified/aer/aer_smap.json index 0163c11c..ac14cfec 100644 --- a/orion/pipelines/verified/aer/aer_smap.json +++ b/orion/pipelines/verified/aer/aer_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_viz.json b/orion/pipelines/verified/aer/aer_viz.json index acb840bb..ca2e0a53 100644 --- a/orion/pipelines/verified/aer/aer_viz.json +++ b/orion/pipelines/verified/aer/aer_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.aer.AER", "orion.primitives.aer.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ } }, "output_names": { - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/aer/aer_yahooa1.json b/orion/pipelines/verified/aer/aer_yahooa1.json index 609e98e1..933c5449 100644 --- a/orion/pipelines/verified/aer/aer_yahooa1.json +++ b/orion/pipelines/verified/aer/aer_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa2.json b/orion/pipelines/verified/aer/aer_yahooa2.json index ed19fc1d..73b0e2bc 100644 --- a/orion/pipelines/verified/aer/aer_yahooa2.json +++ b/orion/pipelines/verified/aer/aer_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa3.json b/orion/pipelines/verified/aer/aer_yahooa3.json index 51d7cc4d..4a354ca1 100644 --- a/orion/pipelines/verified/aer/aer_yahooa3.json +++ b/orion/pipelines/verified/aer/aer_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/aer/aer_yahooa4.json b/orion/pipelines/verified/aer/aer_yahooa4.json index 51d7cc4d..4a354ca1 100644 --- a/orion/pipelines/verified/aer/aer_yahooa4.json +++ b/orion/pipelines/verified/aer/aer_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/arima/arima.json b/orion/pipelines/verified/arima/arima.json index eb35fba5..e2ce1331 100644 --- a/orion/pipelines/verified/arima/arima.json +++ b/orion/pipelines/verified/arima/arima.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "numpy.reshape", "statsmodels.tsa.arima_model.Arima", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_artificialwithanomaly.json b/orion/pipelines/verified/arima/arima_artificialwithanomaly.json index 740e510d..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_artificialwithanomaly.json +++ b/orion/pipelines/verified/arima/arima_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_msl.json b/orion/pipelines/verified/arima/arima_msl.json index 79e756b3..9287e83d 100644 --- a/orion/pipelines/verified/arima/arima_msl.json +++ b/orion/pipelines/verified/arima/arima_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realadexchange.json b/orion/pipelines/verified/arima/arima_realadexchange.json index d257d0c8..5a85a79a 100644 --- a/orion/pipelines/verified/arima/arima_realadexchange.json +++ b/orion/pipelines/verified/arima/arima_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realawscloudwatch.json b/orion/pipelines/verified/arima/arima_realawscloudwatch.json index 740e510d..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_realawscloudwatch.json +++ b/orion/pipelines/verified/arima/arima_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realtraffic.json b/orion/pipelines/verified/arima/arima_realtraffic.json index 740e510d..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_realtraffic.json +++ b/orion/pipelines/verified/arima/arima_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_realtweets.json b/orion/pipelines/verified/arima/arima_realtweets.json index 740e510d..a9b59fce 100644 --- a/orion/pipelines/verified/arima/arima_realtweets.json +++ b/orion/pipelines/verified/arima/arima_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_smap.json b/orion/pipelines/verified/arima/arima_smap.json index 79e756b3..9287e83d 100644 --- a/orion/pipelines/verified/arima/arima_smap.json +++ b/orion/pipelines/verified/arima/arima_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa1.json b/orion/pipelines/verified/arima/arima_yahooa1.json index 5775e641..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa1.json +++ b/orion/pipelines/verified/arima/arima_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa2.json b/orion/pipelines/verified/arima/arima_yahooa2.json index 5775e641..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa2.json +++ b/orion/pipelines/verified/arima/arima_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa3.json b/orion/pipelines/verified/arima/arima_yahooa3.json index 5775e641..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa3.json +++ b/orion/pipelines/verified/arima/arima_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/arima/arima_yahooa4.json b/orion/pipelines/verified/arima/arima_yahooa4.json index 5775e641..3a5be402 100644 --- a/orion/pipelines/verified/arima/arima_yahooa4.json +++ b/orion/pipelines/verified/arima/arima_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" @@ -10,7 +10,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/azure/azure.json b/orion/pipelines/verified/azure/azure.json index 84651ed9..75639243 100644 --- a/orion/pipelines/verified/azure/azure.json +++ b/orion/pipelines/verified/azure/azure.json @@ -1,13 +1,13 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", "orion.primitives.azure_anomaly_detector.split_sequence", "orion.primitives.azure_anomaly_detector.detect_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_artificialwithanomaly.json b/orion/pipelines/verified/azure/azure_artificialwithanomaly.json index 15b4854a..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_artificialwithanomaly.json +++ b/orion/pipelines/verified/azure/azure_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_msl.json b/orion/pipelines/verified/azure/azure_msl.json index a0559454..16afea09 100644 --- a/orion/pipelines/verified/azure/azure_msl.json +++ b/orion/pipelines/verified/azure/azure_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realadexchange.json b/orion/pipelines/verified/azure/azure_realadexchange.json index c7a9ef3f..dbd59e76 100644 --- a/orion/pipelines/verified/azure/azure_realadexchange.json +++ b/orion/pipelines/verified/azure/azure_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realawscloudwatch.json b/orion/pipelines/verified/azure/azure_realawscloudwatch.json index 15b4854a..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_realawscloudwatch.json +++ b/orion/pipelines/verified/azure/azure_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realtraffic.json b/orion/pipelines/verified/azure/azure_realtraffic.json index 15b4854a..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_realtraffic.json +++ b/orion/pipelines/verified/azure/azure_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_realtweets.json b/orion/pipelines/verified/azure/azure_realtweets.json index 15b4854a..6976478b 100644 --- a/orion/pipelines/verified/azure/azure_realtweets.json +++ b/orion/pipelines/verified/azure/azure_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_smap.json b/orion/pipelines/verified/azure/azure_smap.json index a0559454..16afea09 100644 --- a/orion/pipelines/verified/azure/azure_smap.json +++ b/orion/pipelines/verified/azure/azure_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa1.json b/orion/pipelines/verified/azure/azure_yahooa1.json index 4d35643f..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa1.json +++ b/orion/pipelines/verified/azure/azure_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa2.json b/orion/pipelines/verified/azure/azure_yahooa2.json index 4d35643f..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa2.json +++ b/orion/pipelines/verified/azure/azure_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa3.json b/orion/pipelines/verified/azure/azure_yahooa3.json index 4d35643f..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa3.json +++ b/orion/pipelines/verified/azure/azure_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/azure/azure_yahooa4.json b/orion/pipelines/verified/azure/azure_yahooa4.json index 4d35643f..7e166e9d 100644 --- a/orion/pipelines/verified/azure/azure_yahooa4.json +++ b/orion/pipelines/verified/azure/azure_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json index 4e94fba7..2cc25ebf 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "keras.Sequential.DenseSeq2Seq", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -18,7 +18,7 @@ "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100 }, @@ -43,7 +43,7 @@ "keras.Sequential.DenseSeq2Seq#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json index d710250c..e4fe0c11 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json index 0cdc3856..6b8aac0a 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json index d710250c..e4fe0c11 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json +++ b/orion/pipelines/verified/dense_autoencoder/dense_autoencoder_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json index b13bf66a..91c545bd 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "keras.Sequential.LSTMSeq2Seq", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -18,7 +18,7 @@ "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100 }, @@ -43,7 +43,7 @@ "keras.Sequential.LSTMSeq2Seq#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json index d710250c..e4fe0c11 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json index 0cdc3856..6b8aac0a 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json index d710250c..e4fe0c11 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json +++ b/orion/pipelines/verified/lstm_autoencoder/lstm_autoencoder_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json index 24a9f603..4d87efd6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json index 60a0d19e..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_artificialwithanomaly.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json index 1e503202..e3af2f6c 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_msl.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json index 82a340b2..4e102c19 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realadexchange.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json index 60a0d19e..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realawscloudwatch.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json index 60a0d19e..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtraffic.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json index 60a0d19e..e09158f6 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_realtweets.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json index 1e503202..e3af2f6c 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_smap.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json index ec69213c..fe755999 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_viz.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_errors.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json index 25a2d283..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa1.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json index 25a2d283..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa2.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json index 25a2d283..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa3.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json index 25a2d283..5be1b006 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/lstm_dynamic_threshold_yahooa4.json @@ -1,12 +1,12 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 }, "sklearn.preprocessing.MinMaxScaler#1": { "feature_range": [-1, 1] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json index 142f0d3b..4d27d7ca 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/mean_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "mean" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json index 6fe1d64b..33dfe1e1 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/median_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "median" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json index ef93b99f..9b24ca7b 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/skew_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "skew" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json b/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json index fe5769c9..ad52de45 100644 --- a/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json +++ b/orion/pipelines/verified/lstm_dynamic_threshold/sum_24h_lstm.json @@ -1,15 +1,15 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "keras.Sequential.LSTMTimeSeriesRegressor", "orion.primitives.timeseries_anomalies.regression_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 84600, "method": "sum" @@ -20,7 +20,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 250 }, diff --git a/orion/pipelines/verified/tadgan/tadgan.json b/orion/pipelines/verified/tadgan/tadgan.json index 797d1bdc..cbda5bd1 100644 --- a/orion/pipelines/verified/tadgan/tadgan.json +++ b/orion/pipelines/verified/tadgan/tadgan.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -51,7 +51,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json b/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json index 501dc9e4..43fd29e7 100644 --- a/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json +++ b/orion/pipelines/verified/tadgan/tadgan_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_msl.json b/orion/pipelines/verified/tadgan/tadgan_msl.json index b5ffac03..9a303c86 100644 --- a/orion/pipelines/verified/tadgan/tadgan_msl.json +++ b/orion/pipelines/verified/tadgan/tadgan_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realadexchange.json b/orion/pipelines/verified/tadgan/tadgan_realadexchange.json index 8cad9f1f..a447aee3 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realadexchange.json +++ b/orion/pipelines/verified/tadgan/tadgan_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json b/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json index 077b7b61..d4f238ea 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json +++ b/orion/pipelines/verified/tadgan/tadgan_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realtraffic.json b/orion/pipelines/verified/tadgan/tadgan_realtraffic.json index b23563a4..9a17b15e 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realtraffic.json +++ b/orion/pipelines/verified/tadgan/tadgan_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_realtweets.json b/orion/pipelines/verified/tadgan/tadgan_realtweets.json index b23563a4..9a17b15e 100644 --- a/orion/pipelines/verified/tadgan/tadgan_realtweets.json +++ b/orion/pipelines/verified/tadgan/tadgan_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_smap.json b/orion/pipelines/verified/tadgan/tadgan_smap.json index b5ffac03..9a303c86 100644 --- a/orion/pipelines/verified/tadgan/tadgan_smap.json +++ b/orion/pipelines/verified/tadgan/tadgan_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_viz.json b/orion/pipelines/verified/tadgan/tadgan_viz.json index 032266d7..0144dc36 100644 --- a/orion/pipelines/verified/tadgan/tadgan_viz.json +++ b/orion/pipelines/verified/tadgan/tadgan_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -53,7 +53,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json b/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json index 0fee60a0..e956b464 100644 --- a/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json +++ b/orion/pipelines/verified/tadgan/tadgan_without_dropout_gpu.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -165,7 +165,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa1.json b/orion/pipelines/verified/tadgan/tadgan_yahooa1.json index bae702ec..34bf4f2b 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa1.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa2.json b/orion/pipelines/verified/tadgan/tadgan_yahooa2.json index 46e90a52..2a9a20f2 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa2.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa3.json b/orion/pipelines/verified/tadgan/tadgan_yahooa3.json index 1435c127..3c917de8 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa3.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/tadgan/tadgan_yahooa4.json b/orion/pipelines/verified/tadgan/tadgan_yahooa4.json index c47e3389..91ab401a 100644 --- a/orion/pipelines/verified/tadgan/tadgan_yahooa4.json +++ b/orion/pipelines/verified/tadgan/tadgan_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1, "method": "mean" diff --git a/orion/pipelines/verified/vae/vae.json b/orion/pipelines/verified/vae/vae.json index 66411f6e..8ecd7d93 100644 --- a/orion/pipelines/verified/vae/vae.json +++ b/orion/pipelines/verified/vae/vae.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.vae.VAE", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -44,7 +44,7 @@ "orion.primitives.vae.VAE#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } diff --git a/orion/pipelines/verified/vae/vae_artificialwithanomaly.json b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_artificialwithanomaly.json +++ b/orion/pipelines/verified/vae/vae_artificialwithanomaly.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_msl.json b/orion/pipelines/verified/vae/vae_msl.json index d710250c..e4fe0c11 100644 --- a/orion/pipelines/verified/vae/vae_msl.json +++ b/orion/pipelines/verified/vae/vae_msl.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/vae/vae_realadexchange.json b/orion/pipelines/verified/vae/vae_realadexchange.json index 0cdc3856..6b8aac0a 100644 --- a/orion/pipelines/verified/vae/vae_realadexchange.json +++ b/orion/pipelines/verified/vae/vae_realadexchange.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 3600 } diff --git a/orion/pipelines/verified/vae/vae_realawscloudwatch.json b/orion/pipelines/verified/vae/vae_realawscloudwatch.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_realawscloudwatch.json +++ b/orion/pipelines/verified/vae/vae_realawscloudwatch.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_realtraffic.json b/orion/pipelines/verified/vae/vae_realtraffic.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_realtraffic.json +++ b/orion/pipelines/verified/vae/vae_realtraffic.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_realtweets.json b/orion/pipelines/verified/vae/vae_realtweets.json index 95c8759e..eebcc81d 100644 --- a/orion/pipelines/verified/vae/vae_realtweets.json +++ b/orion/pipelines/verified/vae/vae_realtweets.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 600 } diff --git a/orion/pipelines/verified/vae/vae_smap.json b/orion/pipelines/verified/vae/vae_smap.json index d710250c..e4fe0c11 100644 --- a/orion/pipelines/verified/vae/vae_smap.json +++ b/orion/pipelines/verified/vae/vae_smap.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600 } diff --git a/orion/pipelines/verified/vae/vae_viz.json b/orion/pipelines/verified/vae/vae_viz.json index 7be6c7f7..fd3760e3 100644 --- a/orion/pipelines/verified/vae/vae_viz.json +++ b/orion/pipelines/verified/vae/vae_viz.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.vae.VAE", "orion.primitives.timeseries_errors.reconstruction_errors", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -44,7 +44,7 @@ "orion.primitives.vae.VAE#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } @@ -67,7 +67,7 @@ }, { "name": "index", - "variable": "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1.index" + "variable": "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1.index" }, { "name": "errors", diff --git a/orion/pipelines/verified/vae/vae_yahooa1.json b/orion/pipelines/verified/vae/vae_yahooa1.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa1.json +++ b/orion/pipelines/verified/vae/vae_yahooa1.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa2.json b/orion/pipelines/verified/vae/vae_yahooa2.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa2.json +++ b/orion/pipelines/verified/vae/vae_yahooa2.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa3.json b/orion/pipelines/verified/vae/vae_yahooa3.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa3.json +++ b/orion/pipelines/verified/vae/vae_yahooa3.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/pipelines/verified/vae/vae_yahooa4.json b/orion/pipelines/verified/vae/vae_yahooa4.json index 6d2255f1..0fdb0776 100644 --- a/orion/pipelines/verified/vae/vae_yahooa4.json +++ b/orion/pipelines/verified/vae/vae_yahooa4.json @@ -1,5 +1,5 @@ { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 1 } diff --git a/orion/primitives/aer.py b/orion/primitives/aer.py index 5223e120..75d80566 100644 --- a/orion/primitives/aer.py +++ b/orion/primitives/aer.py @@ -4,7 +4,7 @@ import numpy as np import tensorflow as tf -from mlprimitives.utils import import_object +from mlstars.utils import import_object from numpy import ndarray from sklearn.preprocessing import MinMaxScaler from tensorflow.keras.layers import Input diff --git a/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json b/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json index 61be51c0..65d953c6 100644 --- a/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json +++ b/orion/primitives/jsons/keras.Sequential.DenseSeq2Seq.json @@ -10,7 +10,7 @@ "subtype": "regressor" }, "modalities": [], - "primitive": "mlprimitives.adapters.keras.Sequential", + "primitive": "mlstars.adapters.keras.Sequential", "fit": { "method": "fit", "args": [ diff --git a/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json b/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json index 92519029..4925fd72 100644 --- a/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json +++ b/orion/primitives/jsons/keras.Sequential.LSTMSeq2Seq.json @@ -10,7 +10,7 @@ "subtype": "regressor" }, "modalities": [], - "primitive": "mlprimitives.adapters.keras.Sequential", + "primitive": "mlstars.adapters.keras.Sequential", "fit": { "method": "fit", "args": [ diff --git a/orion/primitives/tadgan.py b/orion/primitives/tadgan.py index 6d8282da..5f3d9d14 100644 --- a/orion/primitives/tadgan.py +++ b/orion/primitives/tadgan.py @@ -8,7 +8,7 @@ import numpy as np import pandas as pd import tensorflow as tf -from mlprimitives.utils import import_object +from mlstars.utils import import_object from numpy import ndarray from scipy import stats from tensorflow.keras import Model diff --git a/orion/primitives/timeseries_errors.py b/orion/primitives/timeseries_errors.py index f304b5ba..4fde3863 100644 --- a/orion/primitives/timeseries_errors.py +++ b/orion/primitives/timeseries_errors.py @@ -43,7 +43,7 @@ def regression_errors(y, y_hat, smoothing_window=0.01, smooth=True, if not smooth: return errors - smoothing_window = max(1, int(len(y)*smoothing_window)) + smoothing_window = max(1, int(len(y) * smoothing_window)) errors = pd.Series(errors).ewm(span=smoothing_window).mean().values if mask: diff --git a/orion/primitives/vae.py b/orion/primitives/vae.py index b350a768..947dcee8 100644 --- a/orion/primitives/vae.py +++ b/orion/primitives/vae.py @@ -11,7 +11,7 @@ import numpy as np import tensorflow as tf -from mlprimitives.utils import import_object +from mlstars.utils import import_object from tensorflow.keras import backend as K from tensorflow.keras.layers import Input from tensorflow.keras.models import Model diff --git a/setup.py b/setup.py index c30dfaee..da01846f 100644 --- a/setup.py +++ b/setup.py @@ -21,7 +21,7 @@ "tensorflow>=2.2,<2.5;python_version>='3.8'", 's3fs>=0.2.2,<0.5', 'mlblocks>=0.4.1,<0.5', - 'mlprimitives>=0.3.2,<0.4', + 'ml-stars>=0.1.1,<0.2', 'numpy>=1.17.4,<1.19', 'pandas>=1,<2', 'scikit-learn>=0.22,<1.2', @@ -30,6 +30,7 @@ 'pyts>=0.9,<0.11', 'azure-cognitiveservices-anomalydetector>=0.3,<0.4', 'xlsxwriter>=1.3.6,<1.4', + 'tqdm>=4.36.1', # fix conflict 'h5py<2.11.0,>=2.10.0', diff --git a/tests/test_analysis.py b/tests/test_analysis.py index 66b2743a..0668f221 100644 --- a/tests/test_analysis.py +++ b/tests/test_analysis.py @@ -9,11 +9,11 @@ @pytest.fixture def tadgan_hyperparameters(): return { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "interval": 1, "time_column": "timestamp", }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 diff --git a/tests/test_data.py b/tests/test_data.py index 6e23539b..77814edb 100644 --- a/tests/test_data.py +++ b/tests/test_data.py @@ -49,7 +49,7 @@ def test_download_new(exists_mock, read_csv_mock): # assert assert returned == read_csv_mock.return_value - expected_url = 'https://d3-ai-orion.s3.amazonaws.com/a_signal_name.csv' + expected_url = 'https://sintel-orion.s3.amazonaws.com/a_signal_name.csv' read_csv_mock.assert_called_once_with(expected_url) expected_filename = os.path.join(DATA_PATH, 'a_signal_name.csv') diff --git a/tutorials/Multivariate_Input.ipynb b/tutorials/Multivariate_Input.ipynb index 37e5a2d0..75d6c5ed 100644 --- a/tutorials/Multivariate_Input.ipynb +++ b/tutorials/Multivariate_Input.ipynb @@ -286,7 +286,7 @@ "from orion import Orion\n", "\n", "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", " 'target_column': 0 \n", " },\n", " 'keras.Sequential.LSTMTimeSeriesRegressor#1': {\n", @@ -381,7 +381,7 @@ "\n", "```python3\n", "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", " 'window_size': 100,\n", " 'target_column': 0 \n", " },\n", @@ -429,7 +429,7 @@ ], "source": [ "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1\": {\n", " 'window_size': 150,\n", " 'target_column': 0 \n", " },\n", @@ -470,7 +470,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -484,7 +484,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.10" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/pipelines/azure.ipynb b/tutorials/pipelines/azure.ipynb index a6319789..48d86ffe 100644 --- a/tutorials/pipelines/azure.ipynb +++ b/tutorials/pipelines/azure.ipynb @@ -141,7 +141,7 @@ "outputs": [], "source": [ "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", " \"interval\": 21600,\n", " },\n", " \"orion.primitives.azure_anomaly_detector.split_sequence#1\": {\n", @@ -201,7 +201,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -215,7 +215,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.11" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/pipelines/lstm_dynamic_threshold.ipynb b/tutorials/pipelines/lstm_dynamic_threshold.ipynb index 341a9374..a036af00 100644 --- a/tutorials/pipelines/lstm_dynamic_threshold.ipynb +++ b/tutorials/pipelines/lstm_dynamic_threshold.ipynb @@ -116,15 +116,7 @@ "execution_count": 3, "id": "fa524c4c", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using TensorFlow backend.\n" - ] - } - ], + "outputs": [], "source": [ "from mlblocks import MLPipeline\n", "\n", @@ -171,10 +163,10 @@ { "data": { "text/plain": [ - "['mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate',\n", + "['mlstars.custom.timeseries_preprocessing.time_segments_aggregate',\n", " 'sklearn.impute.SimpleImputer',\n", " 'sklearn.preprocessing.MinMaxScaler',\n", - " 'mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences',\n", + " 'mlstars.custom.timeseries_preprocessing.rolling_window_sequences',\n", " 'keras.Sequential.LSTMTimeSeriesRegressor',\n", " 'orion.primitives.timeseries_errors.regression_errors',\n", " 'orion.primitives.timeseries_anomalies.find_anomalies']" @@ -665,7 +657,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -679,7 +671,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.11" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/tulog/Tulog.ipynb b/tutorials/tulog/Tulog.ipynb index 1b74b94b..e11b45aa 100644 --- a/tutorials/tulog/Tulog.ipynb +++ b/tutorials/tulog/Tulog.ipynb @@ -329,10 +329,10 @@ "\n", "```\n", "\"primitives\": [ \n", - " \"mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate”,\n", + " \"mlstars.custom.timeseries_preprocessing.time_segments_aggregate”,\n", " \"sklearn.impute.SimpleImputer\",\n", " \"sklearn.preprocessing.MinMaxScaler\",\n", - " \"mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences\",\n", + " \"mlstars.custom.timeseries_preprocessing.rolling_window_sequences\",\n", " \"orion.primitives.tadgan.TadGAN\",\n", " \"orion.primitives.tadgan.score_anomalies\",\n", " \"orion.primitives.timeseries_anomalies.find_anomalies\"\n", @@ -1025,7 +1025,7 @@ "from orion import Orion\n", "\n", "hyperparameters = {\n", - " \"mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", + " \"mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1\": {\n", " \"interval\": 3600 # hour level\n", " },\n", " 'orion.primitives.tadgan.TadGAN#1': {\n", @@ -1346,7 +1346,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.13" + "version": "3.8.16" } }, "nbformat": 4, diff --git a/tutorials/tulog/tadgan.json b/tutorials/tulog/tadgan.json index 4db5fe68..f3fcd4b8 100644 --- a/tutorials/tulog/tadgan.json +++ b/tutorials/tulog/tadgan.json @@ -1,16 +1,16 @@ { "primitives": [ - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate", + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate", "sklearn.impute.SimpleImputer", "sklearn.preprocessing.MinMaxScaler", - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences", + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences", "orion.primitives.timeseries_preprocessing.slice_array_by_dims", "orion.primitives.tadgan.TadGAN", "orion.primitives.tadgan.score_anomalies", "orion.primitives.timeseries_anomalies.find_anomalies" ], "init_params": { - "mlprimitives.custom.timeseries_preprocessing.time_segments_aggregate#1": { + "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": { "time_column": "timestamp", "interval": 21600, "method": "mean" @@ -21,7 +21,7 @@ 1 ] }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "target_column": 0, "window_size": 100, "target_size": 1 @@ -165,7 +165,7 @@ "orion.primitives.tadgan.TadGAN#1": { "y": "y_hat" }, - "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": { + "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": { "index": "X_index", "target_index": "y_index" } From 0664dae4b1284bfa0b06f6e7fd51555093db1f0a Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Mon, 22 May 2023 14:50:47 -0400 Subject: [PATCH 29/31] =?UTF-8?q?Bump=20version:=200.4.2.dev0=20=E2=86=92?= =?UTF-8?q?=200.4.2.dev1?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- orion/__init__.py | 2 +- setup.cfg | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/orion/__init__.py b/orion/__init__.py index 05469783..61b1af3f 100644 --- a/orion/__init__.py +++ b/orion/__init__.py @@ -2,7 +2,7 @@ __author__ = """MIT Data To AI Lab""" __email__ = 'dailabmit@gmail.com' -__version__ = '0.4.2.dev0' +__version__ = '0.4.2.dev1' import os diff --git a/setup.cfg b/setup.cfg index 8952e2d6..61c119f9 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.4.2.dev0 +current_version = 0.4.2.dev1 commit = True tag = True parse = (?P\d+)\.(?P\d+)\.(?P\d+)(\.(?P[a-z]+)(?P\d+))? diff --git a/setup.py b/setup.py index da01846f..eadb815a 100644 --- a/setup.py +++ b/setup.py @@ -126,6 +126,6 @@ test_suite='tests', tests_require=tests_require, url='https://github.com/sintel-dev/Orion', - version='0.4.2.dev0', + version='0.4.2.dev1', zip_safe=False, ) From 47d874bcfcaebd72e01a34d8602875ed33bbab00 Mon Sep 17 00:00:00 2001 From: Sarah Alnegheimish Date: Tue, 23 May 2023 15:21:27 -0400 Subject: [PATCH 30/31] add release notes --- HISTORY.md | 15 +++++++++++++++ README.md | 6 +++--- benchmark/leaderboard.md | 4 ++-- benchmark/leaderboard.xlsx | Bin 7518 -> 11270 bytes 4 files changed, 20 insertions(+), 5 deletions(-) diff --git a/HISTORY.md b/HISTORY.md index 586c8a4e..f42c88cf 100644 --- a/HISTORY.md +++ b/HISTORY.md @@ -1,6 +1,20 @@ History ======= +## 0.5.0 - 2023-05-23 + +This version uses ``ml-stars`` package instead of ``mlprimitives``. + +### Issues resolved + +* Migrate to ml-stars – [Issue #418](https://github.com/signals-dev/Orion/issues/418) by @sarahmish +* Updating best_cost in find_anomalies primitive – [Issue #403](https://github.com/signals-dev/Orion/issues/403) by @sarahmish +* Retire ``lstm_dynamic_threshold_gpu`` and ``lstm_autoencoder_gpu`` pipeline maintenance – [Issue #373](https://github.com/signals-dev/Orion/issues/373) by @sarahmish +* Typo in xlsxwriter dependency specification – [Issue #394](https://github.com/signals-dev/Orion/issues/394) by @sarahmish +* ``orion.evaluate`` uses fails when fitting – [Issue #384](https://github.com/signals-dev/Orion/issues/384) by @sarahmish +* AER pipeline with visualization option – [Issue #379](https://github.com/signals-dev/Orion/issues/379) by @sarahmish + + ## 0.4.1 - 2023-01-31 ### Issues resolved @@ -10,6 +24,7 @@ History * Pin ``scikit-learn`` – [Issue #367](https://github.com/signals-dev/Orion/issues/367) by @sarahmish * Fix VAE documentation – [Issue #360](https://github.com/signals-dev/Orion/issues/360) by @sarahmish + ## 0.4.0 - 2022-11-08 This version introduces several new enhancements: diff --git a/README.md b/README.md index 66674b39..63f332de 100644 --- a/README.md +++ b/README.md @@ -118,7 +118,7 @@ The output of the previous command will be a ``pandas.DataFrame`` containing a t ``` start end severity -0 1394323200 1399701600 0.673494 +0 1402012800 1403870400 0.122539 ``` # Leaderboard @@ -128,12 +128,12 @@ We run the benchmark on **11** datasets with their known grounth truth. We recor | Pipeline | Outperforms ARIMA | |---------------------------|--------------------| -| AER | 11 | +| AER | 10 | | TadGAN | 7 | | LSTM Dynamic Thresholding | 7 | | LSTM Autoencoder | 6 | | Dense Autoencoder | 6 | -| VAE | 7 | +| VAE | 6 | | [GANF](https://arxiv.org/pdf/2202.07857.pdf) | 6 | | [Azure](https://azure.microsoft.com/en-us/products/cognitive-services/anomaly-detector/) | 0 | diff --git a/benchmark/leaderboard.md b/benchmark/leaderboard.md index c698b388..ab9f2b94 100644 --- a/benchmark/leaderboard.md +++ b/benchmark/leaderboard.md @@ -1,10 +1,10 @@ | Pipeline | Outperforms ARIMA | |---------------------------|--------------------| -| AER | 11 | +| AER | 10 | | TadGAN | 7 | | LSTM Dynamic Thresholding | 7 | | LSTM Autoencoder | 6 | | Dense Autoencoder | 6 | -| VAE | 7 | +| VAE | 6 | | GANF | 6 | | Azure | 0 | diff --git a/benchmark/leaderboard.xlsx b/benchmark/leaderboard.xlsx index 7b11ad73b3b09cc440da123827b4aca18c437b24..b3eda4bc7a4a6d022dbfc9124b6ed6d457cb6514 100644 GIT binary patch literal 11270 zcmeHN1$PwdvYogm6L%Nl4l#(6nYg&W0!`{?Mm(|_In&Ja2G<^;L8uI`D9{<5B(33E3+r^IBcN%|*u3D~4yv{C*9n}3u z!joT#FhC?mJw+3S7Eqr}Y>-xn9w@w6ph$do=j~vO(SOwUhAGs%h3R$s{(DrNomz)8 zr55?@Gl5u2hN8p^bg4=xoUO@=8T%$AUqUkh=GU?~UkiFZ1xpxi!0@i7-ptc)&haLT zsG>Ya;M>2jHQgcg%gfM0;~*03l3`&nmA86qp?zJMgmkJ3V;Fm zw0hqUEv>waJRG3B+~h6|$HEbyu5&93PQG<;L13hFOp4mBgHd{P!%QO}ce7(brw zGnZ6&fF=~mCv!ZNiaX$BWVTT5HDFD7aYLl4Y|dv_PvxO+V%>2jp5BiA;Kd@B zF`z`njdjgA4(g}Px$x1d;r>3H>CwZ3)Lk<0ZO}iQ{NpMlPyIbeq>2j-Zy_rJf&l=C z0EkfT)@*;oiJP6Hm64sD)z2LEub6>?Br=GX|LmhBZq%}e9X0SYs4ZZ!)gkUtVTj+8 zA*i)(34y&5D@4}XxLC;JE-m5fi;Dc@i98zaGmeorcYNoYq|`2}4D?kbuuY5UW3|Y7 zSMust6rr_TO;_l+5#Wk4R<;-8^Hy^5Ce6ZB#k@)esoenyD%vF6rh+-r$$kAIPDI8` z0p%D?uQhjXG9%ib=cHMLWhw&Qc8PktQ3r4AY}UASBct2Ai6_1jq71%AiO-2*sq(kD z*Td6KJb*g4W zjed7{Tgk*dDs<_n_H>ByPsj=H+2J07P^%X_0Du931Oz#M#Z12Hnq4|O&^x>43F;=3 zK)DN&RQ$2oVk2`}Qd%~qU1K_|fsEB5v|G}6vmZW6C&(?W@M);N(t)1YJ#+UL~ z9(uY{G0{Mau(krmw~zDy=1I~Q$phDa)DU$w1jlexy=%w5U#g$n1oyOJ^A!P-V5Eew zR+*X-;wr*quz)QkQ6{tapq;?M+nREp=^@ik;(C&incH1IUW%<56wi7+QHW;Q9#%^v z7|@E~&>%*;I<|e$8^f<*IC+lP7!nd`h!b47gw%Ddr&Uf{d#@vj!oPfbp*dPRzZV1@ zqat{f;o1j}eNA&9cB2pbl38HJ=U_|L_MG++SD9iE|Fa18aw}e) zyP_bMT^Q_d|&BIRw>zC(QREtQ+(YvK)d`0BC=}-pSd++SKVMQTC_} z+AgsJTk-dWfGtc~RE>3%453?yh%tC@anP+(Sfe;AA6Hx8<66}*znB2 zZ5|msV*G99u%Kv_IhjG&J2Nr~mEBJUj+yJ^SE*dRA76;$1u{uux8yx<0}J_tSygYH z+lm#704R@O?IMbI%eD828Nu%g85s==RkVOGg?h~{1q=+9&64&!-&)=?A;vd|rG($J zQ26hM*z9aesq|FfZjBskF-M3Cwrffk42HqX^kGOw5&3+8`La(5K6-}-s?aIXO58=Y z*HukoE*d`=TTYe!0fR-+jxiXm!^X?+nYZ>HrzuU4lZjkzOG#2WPsgS}@*5wpmLWw5 zd?EeD6&dHNdV#}3AQ=)ubo2`M7_K@IVGKIw+*=yV8f}NyyxJCTk`u+*+m4p~Txu+@ zj$i|pwTrAgoUJ7sTIM!&EG4eP6{7&^FOG#Dw{loq(X0vg?v~+R$gYEp={dz}M>>Qb zuD#Vo;%Lsr+~!?Zm`di-j_)amZ0whOEn1YCd>@Hbs$&JziJY{EcuU_LMLrOzcAiQR z!aPswgQK>hMXE<4cWp6zR>S3N>pu$5ZwJh>jy!ZhU?yHSy%z-LGZkg5Y366|WHqyt z7m7PFaT?l&!FJmiNgEP~ez-O4ujXQY;?N3t<&U-o7oO%A?Gu)Oaj!>LyA}yn{hoP} zB`8!>;g78WG&XRIn9&SZ^A2BGNX{rL$kA=!4xT-dsZmUO1%h1| zDf}CJkr|pb8vKgxwHmC|src^dJ`xz?2w9nznXm;9_Igh48O}cQkD+b|`u-pZP?z+uXnd4_* z9cxM35%U1s@b`TvF0(YMX!|*-5R#aCCGY*q@&{tI6q{=rhv6g_Cd^q3(??X zd&G`QRxHlyMI*SvUmKI<999sj4M|&rIWY+zOJ*8SzzbE^{2+*ibZDN`xftpZ-f8nG z-y6v3kfVtm(q-TYGL4K8TQGqpHCDqg$RrawhygJQqe{cE9f}Oz!=hO6;D57}>-mDZ z2(7zxzwOK?a%w(V%JAW<`=n#DQgbE8t{p%|b_N1B{8zLb@*6F?P}#sew=mGWLAc$N={_Bm$GQAYTI8&8`vySzLqj>UC?p; 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charset=UTF-8 Content-Transfer-Encoding: 8bit --- orion/__init__.py | 2 +- setup.cfg | 2 +- setup.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/orion/__init__.py b/orion/__init__.py index 61b1af3f..5ac5a29e 100644 --- a/orion/__init__.py +++ b/orion/__init__.py @@ -2,7 +2,7 @@ __author__ = """MIT Data To AI Lab""" __email__ = 'dailabmit@gmail.com' -__version__ = '0.4.2.dev1' +__version__ = '0.5.0.dev0' import os diff --git a/setup.cfg b/setup.cfg index 61c119f9..2e4e8c80 100644 --- a/setup.cfg +++ b/setup.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.4.2.dev1 +current_version = 0.5.0.dev0 commit = True tag = True parse = (?P\d+)\.(?P\d+)\.(?P\d+)(\.(?P[a-z]+)(?P\d+))? diff --git a/setup.py b/setup.py index eadb815a..33c7a7bb 100644 --- a/setup.py +++ b/setup.py @@ -126,6 +126,6 @@ test_suite='tests', tests_require=tests_require, url='https://github.com/sintel-dev/Orion', - version='0.4.2.dev1', + version='0.5.0.dev0', zip_safe=False, )