ModuleNotFoundError: No module named 'sklearn.utils.testing'

[ghost]

Describe the bug
from causalml import metrics causes ModuleNotFoundError: No module named 'sklearn.utils.testing'

To Reproduce
Steps to reproduce the behavior:

----> 1 from causalml import metrics

~/opt/anaconda3/envs/ollivander/lib/python3.7/site-packages/causalml/metrics/__init__.py in <module>
      1 from .classification import roc_auc_score, logloss, classification_metrics  # noqa
      2 from .regression import ape, mape, mae, rmse, r2_score, gini, smape, regression_metrics # noqa
----> 3 from .visualize import plot, plot_gain, plot_lift, plot_qini, plot_tmlegain, plot_tmleqini # noqa
      4 from .visualize import get_cumgain, get_cumlift, get_qini, get_tmlegain, get_tmleqini # noqa
      5 from .visualize import auuc_score, qini_score # noqa

~/opt/anaconda3/envs/ollivander/lib/python3.7/site-packages/causalml/metrics/visualize.py in <module>
      5 import seaborn as sns
      6 from lightgbm import LGBMRegressor
----> 7 from ..inference.meta.tmle import TMLELearner
      8 
      9 

~/opt/anaconda3/envs/ollivander/lib/python3.7/site-packages/causalml/inference/meta/__init__.py in <module>
      1 from .slearner import LRSRegressor, BaseSLearner, BaseSRegressor, BaseSClassifier
----> 2 from .tlearner import XGBTRegressor, MLPTRegressor, BaseTLearner, BaseTRegressor, BaseTClassifier
      3 from .xlearner import BaseXLearner, BaseXRegressor, BaseXClassifier
      4 from .rlearner import BaseRLearner, BaseRRegressor, BaseRClassifier, XGBRRegressor
      5 from .tmle import TMLELearner

~/opt/anaconda3/envs/ollivander/lib/python3.7/site-packages/causalml/inference/meta/tlearner.py in <module>
      6 from sklearn.exceptions import ConvergenceWarning
      7 from sklearn.neural_network import MLPRegressor
----> 8 from sklearn.utils.testing import ignore_warnings
      9 from xgboost import XGBRegressor
     10 
ModuleNotFoundError: No module named 'sklearn.utils.testing'

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Environment (please complete the following information):

• OS: macOS
• Python Version: Python 3.7.9
• Versions of Major Dependencies (pandas, scikit-learn, cython): [e.g. pandas==1.2.0, scikit-learn==0.24.0]

Additional context
I guess there is some collision between conda and pip

[ghost]

The sklearn.utils.testing module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.utils. Anything that cannot be imported from sklearn.utils is now part of the private API.

[jeongyoonlee]

Thanks for filling the issue. It was addressed in #283, and will be available in the next PyPI release.

Meanwhile, you can either use scikit-learn==0.23 with causalml==0.9 or install causalml from the repo.

Best,

[ghost]

thanks. p.s. have you seen this ? "cannot import name 'getargspec_no_self' from 'scipy._lib._util'"

[daheelee]

Could you please open a separate issue for the second question?

[am-official]

Those who are facing ModuleNotFoundError: No module named 'sklearn.utils.testing'

import sklearn
estimators = sklearn.utils.all_estimators(type_filter=None)
for name, class_ in estimators:
    if hasattr(class_, 'predict_proba'):
        print(name)