not compatibe with AutoSkLearn

[behrica]

Execution error at libpython-clj2.python.ffi/check-error-throw (ffi.clj:707).
; Traceback (most recent call last):
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/estimators.py", line 1448, in fit
; super().fit(
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/estimators.py", line 540, in fit
; self.automl_.fit(load_models=self.load_models, **kwargs)
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/automl.py", line 2304, in fit
; return super().fit(
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/automl.py", line 962, in fit
; raise e
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/automl.py", line 657, in fit
; self.InputValidator.fit(X_train=X, y_train=y, X_test=X_test, y_test=y_test)
; File "/hom
; e/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/data/validation.py", line 169, in fit
; self.feature_validator.fit(X_train, X_test)
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/data/feature_validator.py", line 97, in fit
; self._check_data(X_train)
; File "/home/vscode/.cache/pypoetry/virtualenvs/dummy-EXNm2jyS-py3.9/lib/python3.9/site-packages/autosklearn/data/feature_validator.py", line 227, in _check_data
; raise ValueError(
; ValueError: Auto-sklearn only supports Numpy arrays, Pandas DataFrames, scipy sparse and Python Lists, yet, the provided input is of type <class 'abc.jvm-list-as-python'>
;