CollectionTransformerPipeline extends BaseCollectionPipeline. This base class seems to lack a call to fit in the internal _fit_transform function
def _fit_transform(self, X, y=None) -> np.ndarray:
"""Fit and transform sequences in X.
Parameters
----------
X : data of type self.get_tag("X_inner_type")
Returns
-------
Xt : transformed data
"""
# transform
Xt = X
for i in range(len(self.steps_)):
Xt = self.steps_[i][1].fit_transform(X=Xt)
return Xt
Steps/Code to reproduce the bug
from aeon.testing.data_generation import make_example_3d_numpy
from aeon.transformations.collection.compose import CollectionTransformerPipeline
X,y = make_example_3d_numpy(n_timepoints=30)
t = CollectionTransformerPipeline.create_test_instance()
t.fit_transform(X,y)
t.fit(X)
Expected results
fits correctly
Actual results
C:\Code\aeon\venv\Scripts\python.exe C:\Code\aeon\aeon\local\transform_debug.py
C:\Code\aeon\venv\lib\site-packages\dask\dataframe\_pyarrow_compat.py:17: FutureWarning: Minimal version of pyarrow will soon be increased to 14.0.1. You are using 11.0.0. Please consider upgrading.
warnings.warn(
Traceback (most recent call last):
File "C:\Code\aeon\aeon\local\transform_debug.py", line 33, in <module>
t.fit_transform(X,y)
File "C:\Code\aeon\aeon\transformations\collection\base.py", line 208, in fit_transform
Xt = self._fit_transform(X=X_inner, y=y_inner)
File "C:\Code\aeon\aeon\base\estimator\compose\collection_pipeline.py", line 236, in _fit_transform
for i in range(len(self.steps_)):
AttributeError: 'CollectionTransformerPipeline' object has no attribute 'steps_'
Describe the bug
CollectionTransformerPipeline extends BaseCollectionPipeline. This base class seems to lack a call to fit in the internal _fit_transform function
Steps/Code to reproduce the bug
Expected results
fits correctly
Actual results
Versions
No response