AttributeError: ‘HistGradientBoostingClassifier‘ object has no attribute ‘_ n_ features‘

Preface

Project started normally , Call interface error

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The error information is as follows

File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py", line 1379, in predict_proba
    raw_predictions = self._raw_predict(X)
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py", line 739, in _raw_predict
    if X.shape[1] != self._n_features:
AttributeError: 'HistGradientBoostingClassifier' object has no attribute '_n_features'
[13/Aug/2021 06:50:40] "POST /helmet/data/ HTTP/1.1" 200 55
 Current system time :2021-08-13 06:50:41
 Current attention ：1
 This request took :313 ms
[13/Aug/2021 06:50:41] "POST /helmet/data/ HTTP/1.1" 200 120
 Current fatigue value ：3.613793103448276
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator GradientBoostingClassifier from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator HistGradientBoostingClassifier from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator DecisionTreeClassifier from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator RandomForestClassifier from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator LabelEncoder from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator DummyClassifier from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator DecisionTreeRegressor from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator _BinMapper from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator VotingClassifier from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator GradientBoostingRegressor from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator HistGradientBoostingRegressor from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator RandomForestRegressor from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator DummyRegressor from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/base.py:315: UserWarning: Trying to unpickle estimator VotingRegressor from version 0.23.2 when using version 0.24.2. This might lead to breaking code or invalid results. Use at your own risk.
  UserWarning)
Traceback (most recent call last):
  File "/usr/local/python/anqunmao/Helmet/interface/data_process.py", line 85, in helmet_data_process
    dizziness_state = dizziness.make_prediction(primary_data_list_2)
  File "/usr/local/python/anqunmao/Helmet/algorithm/dizziness_lib/dizziness.py", line 189, in make_prediction
    y_class_pre = model_class.predict(df_eeg)
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_voting.py", line 309, in predict
    maj = np.argmax(self.predict_proba(X), axis=1)
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_voting.py", line 329, in _predict_proba
    avg = np.average(self._collect_probas(X), axis=0,
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_voting.py", line 324, in _collect_probas
    return np.asarray([clf.predict_proba(X) for clf in self.estimators_])
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_voting.py", line 324, in <listcomp>
    return np.asarray([clf.predict_proba(X) for clf in self.estimators_])
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py", line 1379, in predict_proba
    raw_predictions = self._raw_predict(X)
  File "/root/.local/share/virtualenvs/Helmet-HSTij6Wf/lib/python3.6/site-packages/sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py", line 739, in _raw_predict
    if X.shape[1] != self._n_features:
AttributeError: 'HistGradientBoostingClassifier' object has no attribute '_n_features'

terms of settlement

It is caused by the inconsistency between the local version and the server version when locating , So change it to be consistent