v2.3.0

What's Changed

• chore(deps): bump torch from 1.12.1 to 1.13.1 by @dependabot in #201
• test: reproducible tests by @hollandjg in #205
• test: add seeding for DARTS tests by @hollandjg in #206
• Feat/parallel pipe by @hollandjg in #203
• feat: Closed Loop Cycle Plot Function by @gtdang in #171
• 209 deepcopy theorist by @gtdang in #210
• add custom primitives for bms by @TheLemonPig in #215
• chore(deps): bump imageio from 2.22.4 to 2.23.0 by @dependabot in #212
• chore(deps): bump seaborn from 0.12.1 to 0.12.2 by @dependabot in #214
• Exploration/enforce bms root by @TheLemonPig in #217
• feat: assumption sampler created with loss analysis feature by @TheLemonPig in #166
• chore(deps): bump imageio from 2.23.0 to 2.24.0 by @dependabot in #222
• chore(deps): bump scipy from 1.9.3 to 1.10.0 by @dependabot in #223
• Feat/validation plotting by @gtdang in #211
• fix: update deprecated use of np.float by @hollandjg in #225
• chore(deps): bump numpy from 1.23.5 to 1.24.1 by @dependabot in #213
• Feat/cycle plot query by @gtdang in #230
• Fix bms seed by @TheLemonPig in #245
• Refactor cycle plot tests by @gtdang in #239
• Refactor/bms status tracking by @hollandjg in #244
• chore(deps): bump matplotlib from 3.6.2 to 3.6.3 by @dependabot in #241
• 240 cycle plot negative indexing by @gtdang in #246
• chore(deps): bump pandas from 1.5.2 to 1.5.3 by @dependabot in #253
• chore(deps-dev): bump pytest from 7.2.0 to 7.2.1 by @dependabot in #254
• feat: add pipes supporting for numpy objects in the pipeline by @hollandjg in #229
• chore: upgrade isort in pre-commit to avoid build failures by @benwandrew in #262
• chore(deps): bump imageio from 2.24.0 to 2.25.0 by @dependabot in #255
• chore(deps): bump numpy from 1.24.1 to 1.24.2 by @dependabot in #265
• chore(deps-dev): bump pre-commit from 2.20.0 to 2.21.0 by @dependabot in #256
• chore(deps-dev): bump ipython from 8.7.0 to 8.9.0 by @dependabot in #259
• chore(deps): bump scikit-learn from 1.2.0 to 1.2.1 by @dependabot in #264
• chore(deps-dev): bump ipython from 8.9.0 to 8.10.0 by @dependabot in #267
• chore(deps): bump imageio from 2.25.0 to 2.25.1 by @dependabot in #268
• chore(deps-dev): bump mkdocs-section-index from 0.3.4 to 0.3.5 by @dependabot in #269
• chore(deps-dev): bump ipywidgets from 7.7.2 to 7.7.3 by @dependabot in #270
• Chore: Automated publishing of the AutoRA Package on PyPI and Anaconda.org by @hollandjg in #260
• feature: add Bayesian Symbolic Regression (BSR) into AutoRA by @listar2000 in #271

Full Changelog: v2.2.0...v2.3.0

v2.2.0

What's Changed

• Chore: update bms weber example files by @benwandrew in #157
• Chore: bump mypy to 0.991 by @hollandjg in #147
• Chore/bump black to 22.10.0 by @hollandjg in #148
• poppernet suggestions john by @hollandjg in #160
• added popper sampler and pooler by @musslick in #156
• added model disagreement sampler by @musslick in #158
• Feat: add pipeline train test split function which works on infinitely many datapoints by @hollandjg in #155
• fix: convert OPS dictionary into a factory function by @hollandjg in #163
• chore: update isort config to definitely treat AutoRA as a first party package by @hollandjg in #167
• test: split pre commit from pytest in ci by @hollandjg in #175
• add test case for models_ by @hollandjg in #165
• docs: fixing a few typos by @benwandrew in #170
• added summed dissimilarity sampler by @musslick in #162
• docs: update link to scikit-learn object in dissimilarity sampler doc… by @hollandjg in #177
• added numpy compatibility for BMS predict method by @musslick in #179
• set variable range default to none so that it doesn't conflict with allowed values by @musslick in #188
• feature: allow "cycle properties", like "theories[-1]" in SimpleCycle by @hollandjg in #174
• ci: get cacheing working on GitHub workflow pytest by @hollandjg in #192
• refactor: rename autora.cycle.simple by @hollandjg in #190
• chore(deps): bump scikit-learn from 1.1.3 to 1.2.0 by @dependabot in #187
• breaking change: refactored popper pooler by @musslick in #180
• 159 feat bms return variable number of models by @TheLemonPig in #161
• test: run testcases on macos in CI by @hollandjg in #200
• chore: bump version 2.2.0 by @hollandjg in #195

New Contributors

• @TheLemonPig made their first contribution in #161

Full Changelog: v2.1.0...v2.2.0

v2.1.0

What's Changed

• docs: fix conda build by @hollandjg in #140
• Fix/pre commit by @hollandjg in #149
• docs: update README.md for new PyCharm interface by @benwandrew in #145
• feature: experimentalist pipeline by @hollandjg in #133
• feat: add uncertainty experimentalist based on ALiPy module by @hollandjg in #143
• Feat: simple cycle by @hollandjg in #150
• chore: Bump version to 2.1.0 by @gtdang in #151

Full Changelog: v2.0.0...v2.1.0

v2.0.0

What's Changed

• Updated README.md with additional details and fixed outdated script/co… by @gtdang in #104
• docs: fix link to macOS command line reference book by @hollandjg in #114
• chore: update project name in PyCharm by @hollandjg in #106
• Chore/update pre commit hook versions by @hollandjg in #107
• minor textual fixes to search_space.md by @benwandrew in #127
• test: add pytest CI by @hollandjg in #125
• chore(deps): bump seaborn from 0.11.2 to 0.12.1 by @dependabot in #131
• chore(deps): bump graphviz from 0.14.2 to 0.20.1 by @dependabot in #130
• refactor!: remove dunder methods by @hollandjg in #132
• fix: add missing dependency jupyter to dev by @hollandjg in #134
• feature: add Bayesian Machine Scientist by @hollandjg in #129
• Chore: bump to version 2 by @benwandrew in #138

New Contributors

• @dependabot made their first contribution in #131

Full Changelog: v1.0.0...v2.0.0

v1.0.0

What's Changed

• added basic description of AER and contributors section for future use by @musslick in #1
• Doc/readme even by @he9950 in #2
• adding ben andrew to the list of contributors by @benwandrew in #5
• readme by @ioanam25 in #7
• bug by @ioanam25 in #9
• reqs update by @ioanam25 in #8
• added Brown copyright statement by @musslick in #10
• sorted import statements by @musslick in #11
• adding Sida Li to the list of contributors by @listar2000 in #13
• softplus/minus by @ioanam25 in #12
• commented model_search by @ioanam25 in #14
• feat: started prolific recruiter by @kphan20 in #16
• update pull_request_template.md by @listar2000 in #19
• add basic .gitignore with python support by @hollandjg in #24
• Style: add pre-commit checks with black, isort, flake8 and mypy by @hollandjg in #25
• Use poetry (rather than conda) as the package manager by @hollandjg in #33
• Add explicit support for IDEs (PyCharm and VSCode) by @hollandjg in #34
• Reorganize scripts into a new aer package and a separate example directory by @hollandjg in #38
• Add automated documentation with Material for MkDocs by @hollandjg in #39
• adds virtual participant based on model for task switching in humans by @he9950 in #17
• Include MathJax support in documentation by @hollandjg in #47
• Refactor: combine variables in aer.variable by @hollandjg in #26
• Remove tickboxes from PR-template to make task-circles on PR overview correct by @hollandjg in #48
• Guide to commenting by @hollandjg in #44
• refactor: remove lambdas from OPS dictionary (and move to bottom of file) by @hollandjg in #51
• Doc/core logic darts updates by @hollandjg in #52
• Doc/merge restructure modules into core logic darts by @hollandjg in #53
• Doc/core logic darts by @musslick in #46
• Include primitives in Theorist_DARTS by @hollandjg in #56
• Set PyCharm docstring format to Google by @hollandjg in #64
• MyPy: ignore imports in init.py by @hollandjg in #63
• Feat/darts primitives spec by @musslick in #54
• sklearn & split ObjectOfStudy PR 1: update parameter names by @hollandjg in #57
• sklearn & split ObjectOfStudy PR 2: gather functions in aer.theorist.darts by @hollandjg in #58
• sklearn & split ObjectOfStudy PR 3: add DARTSDataset and VariableCollection classes by @hollandjg in #59
• sklearn & split ObjectOfStudy PR 4: split a simpler darts_model_plot function from the darts.visualize.plot function by @hollandjg in #60
• sklearn & split ObjectOfStudy PR 5: Add sklearn wrapper for DARTS Regressor by @hollandjg in #61
• Rename package to AutoRA by @hollandjg in #62
• Restructure modules: Temporarily remove untested / undocumented code by @hollandjg in #65
• Feat/restructure modules 8 packaging for pip by @hollandjg in #66
• Make tinkerforge optional by @hollandjg in #68
• Remove excess print in visualize function by @hollandjg in #69
• Add primitives to sklearn DARTS wrapper by @hollandjg in #71
• Add packaging script for conda install by @hollandjg in #67
• updated DARTS mkdocs by @musslick in #72
• Feat/darts to text by @musslick in #55
• change name of arch learning rate parameter and include in SKlearn wr… by @hollandjg in #78
• Add synthetic tests for DARTS by @hollandjg in #75
• Fix Classifier Params by @hollandjg in #82
• refactored operations by @musslick in #83
• added feature to print the model by @musslick in #84
• Additional updates to the documentation by @hollandjg in #87
• Feat/refactor mkdocs by @musslick in #85
• Add execution monitor with edge weights by @hollandjg in #89
• Feat/darts online plots by @musslick in #86
• Add automated documentation building by @hollandjg in #90
• Doc/completing docstrings by @musslick in #93
• add additional info for PyPI and Anaconda.org by @hollandjg in #92
• Added ability to resample model after initial fitting by @hollandjg in #94
• Bugfixes and final changes to structure by @hollandjg in #96
• added epoch=0 to resample example by @musslick in #97
• fixed variable labeling so that indices start at 1 by @musslick in #98
• bump version number -> 1.0.0 by @hollandjg in #95
• Major release: Restructure modules by @hollandjg in #27
• remove stray participant_task_switching.py by @hollandjg in #99

New Contributors

• @he9950 made their first contribution in #2
• @benwandrew made their first contribution in #5
• @ioanam25 made their first contribution in #7
• @listar2000 made their first contribution in #13
• @kphan20 made their first contribution in #16

Full Changelog: v0.1.0-alpha...v1.0.0