Demonstration code results in an error (2)

[Checkpoint-89]

I have used the demo_pipeline without problem and now face this bug.

Description of the bug: the following code results in an error

from melusine.data import load_email_data
from melusine.pipeline import MelusinePipeline

# Load an email dataset
df = load_email_data()

# Load a pipeline
pipeline = MelusinePipeline.from_config("demo_pipeline")  

# Run the pipeline
df = pipeline.transform(df)

Same as in the demonstration code here.

Error :

TypeError                                 Traceback (most recent call last)
Cell In[1], [line 11](vscode-notebook-cell:?execution_count=1&line=11)
      [8](vscode-notebook-cell:?execution_count=1&line=8) pipeline = MelusinePipeline.from_config("demo_pipeline")  
     [10](vscode-notebook-cell:?execution_count=1&line=10) # Run the pipeline
---> [11](vscode-notebook-cell:?execution_count=1&line=11) df = pipeline.transform(df)

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\melusine\pipeline.py:403, in MelusinePipeline.transform(self, X)
    [389](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:389) """
    [390](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:390) Transform input dataset.
    [391](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:391) 
   (...)
    [400](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:400)     Output Dataset.
    [401](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:401) """
    [402](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:402) self.validate_input_fields(X)
--> [403](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/melusine/pipeline.py:403) return super().transform(X)

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\sklearn\pipeline.py:1082, in Pipeline.transform(self, X, **params)
   [1050](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1050) """Transform the data, and apply `transform` with the final estimator.
   [1051](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1051) 
   [1052](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1052) Call `transform` of each transformer in the pipeline. The transformed
   (...)
   [1079](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1079)     Transformed data.
   [1080](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1080) """
   [1081](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1081) # TODO(1.8): Remove the context manager and use check_is_fitted(self)
-> [1082](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1082) with _raise_or_warn_if_not_fitted(self):
   [1083](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1083)     _raise_for_params(params, self, "transform")
   [1085](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1085)     # not branching here since params is only available if
   [1086](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1086)     # enable_metadata_routing=True

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\contextlib.py:142, in _GeneratorContextManager.__exit__(self, typ, value, traceback)
    [140](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/contextlib.py:140) if typ is None:
    [141](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/contextlib.py:141)     try:
--> [142](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/contextlib.py:142)         next(self.gen)
    [143](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/contextlib.py:143)     except StopIteration:
    [144](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/contextlib.py:144)         return False

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\sklearn\pipeline.py:60, in _raise_or_warn_if_not_fitted(estimator)
     [58](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:58) # we only get here if the above didn't raise
     [59](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:59) try:
---> [60](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:60)     check_is_fitted(estimator)
     [61](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:61) except NotFittedError:
     [62](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:62)     warnings.warn(
     [63](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:63)         "This Pipeline instance is not fitted yet. Call 'fit' with "
     [64](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:64)         "appropriate arguments before using other methods such as transform, "
   (...)
     [67](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:67)         FutureWarning,
     [68](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:68)     )

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\sklearn\utils\validation.py:1756, in check_is_fitted(estimator, attributes, msg, all_or_any)
   [1753](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1753) if not tags.requires_fit and attributes is None:
   [1754](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1754)     return
-> [1756](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1756) if not _is_fitted(estimator, attributes, all_or_any):
   [1757](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1757)     raise NotFittedError(msg % {"name": type(estimator).__name__})

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\sklearn\utils\validation.py:1665, in _is_fitted(estimator, attributes, all_or_any)
   [1662](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1662)     return all_or_any([hasattr(estimator, attr) for attr in attributes])
   [1664](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1664) if hasattr(estimator, "__sklearn_is_fitted__"):
-> [1665](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1665)     return estimator.__sklearn_is_fitted__()
   [1667](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1667) fitted_attrs = [
   [1668](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1668)     v for v in vars(estimator) if v.endswith("_") and not v.startswith("__")
   [1669](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1669) ]
   [1670](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1670) return len(fitted_attrs) > 0

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\sklearn\pipeline.py:1310, in Pipeline.__sklearn_is_fitted__(self)
   [1303](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1303)     return True
   [1305](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1305) try:
   [1306](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1306)     # check if the last step of the pipeline is fitted
   [1307](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1307)     # we only check the last step since if the last step is fit, it
   [1308](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1308)     # means the previous steps should also be fit. This is faster than
   [1309](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1309)     # checking if every step of the pipeline is fit.
-> [1310](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1310)     check_is_fitted(last_step)
   [1311](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1311)     return True
   [1312](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/pipeline.py:1312) except NotFittedError:

File d:\Users\cdiet\Program\miniconda3\envs\test_env\lib\site-packages\sklearn\utils\validation.py:1749, in check_is_fitted(estimator, attributes, msg, all_or_any)
   [1743](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1743)     msg = (
   [1744](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1744)         "This %(name)s instance is not fitted yet. Call 'fit' with "
   [1745](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1745)         "appropriate arguments before using this estimator."
   [1746](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1746)     )
   [1748](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1748) if not hasattr(estimator, "fit"):
-> [1749](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1749)     raise TypeError("%s is not an estimator instance." % (estimator))
   [1751](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1751) tags = get_tags(estimator)
   [1753](file:///D:/Users/cdiet/Program/miniconda3/envs/test_env/lib/site-packages/sklearn/utils/validation.py:1753) if not tags.requires_fit and attributes is None:

TypeError: EmergencyDetector(name='emergency') is not an estimator instance.

Debug Information

Please write the debug information inside ``` quotes in order to prevent text interpretation by the text editor.

Operating System: (run cat /etc/os-release in a terminal if running on a GNU/Linux distribution)

Microsoft Windows [Version 10.0.22631.4460]

Python version: (run python --version in the environment running Melusine)

Python 3.10.16

Melusine version: (run pip freeze |grep melusine in your Python environment)

melusine                  3.1.0                    pypi_0    pypi

Python packages: (run pip freeze in your Python environment)
Simple environment set-up built with conda create -n test_env python=3.10 and pip install melusine, nothing else.

antlr4-python3-runtime==4.9.3
arrow==1.3.0
asttokens @ file:///home/conda/feedstock_root/build_artifacts/asttokens_1733250440834/work
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1733218098505/work
comm @ file:///home/conda/feedstock_root/build_artifacts/comm_1733502965406/work
debugpy @ file:///D:/bld/debugpy_1734158974603/work
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1733236420667/work 
exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1733208806608/work
executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1733569351617/work 
importlib_metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1733223117029/work
ipykernel @ file:///D:/bld/ipykernel_1719845595208/work
ipython @ file:///D:/bld/ipython_1732896960890/work
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1733300866624/work
joblib==1.4.2
jupyter_client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1733440914442/work
jupyter_core @ file:///D:/bld/jupyter_core_1727163532151/work
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1733416936468/work
melusine==3.1.0
nest_asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1733325553580/work
numpy==2.2.0
omegaconf==2.3.0
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1733203243479/work 
pandas==2.2.3
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1733271261340/work
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1733327343728/work
platformdirs @ file:///home/conda/feedstock_root/build_artifacts/platformdirs_1733232627818/work
prompt_toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1733302527033/work
psutil @ file:///D:/bld/psutil_1729847160832/work
pure_eval @ file:///home/conda/feedstock_root/build_artifacts/pure_eval_1733569405015/work 
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1733221634316/work   
python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1733215673016/work
pytz==2024.2
pywin32==307
PyYAML==6.0.2
pyzmq @ file:///D:/bld/pyzmq_1728642398422/work
scikit-learn==1.6.0
scipy==1.14.1
six @ file:///home/conda/feedstock_root/build_artifacts/six_1733380938961/work
stack_data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1733569443808/work
threadpoolctl==3.5.0
tornado @ file:///D:/bld/tornado_1732615925919/work
tqdm==4.67.1
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1733367359838/work 
types-python-dateutil==2.9.0.20241206
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1733188668063/work
tzdata==2024.2
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1733231326287/work     
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1732827521216/work

[Checkpoint-89]

Observation: Rolling back to Scikit-learn version 1.5.2 resolves the issue, and the code runs as expected.
Root Cause: It appears that Melusine has a compatibility issue with Scikit-learn 1.6.0.
Behavior: When running pip install melusine, the latest version of Scikit-learn (1.6.0) is installed automatically, causing the issue.