ModuleNotFoundError: No module named 'sklearn.utils.testing' about lazypredict HOT 6 OPEN

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)

from lazypredict.

Change the sklearn version to 23.x instead of 24.x.

from lazypredict.

from sklearn.utils.testing import all_estimators to
from sklearn.testing import all_estimators

from lazypredict.

I came across the same problem that @Rushi21-kesh mentioned. The ModuleNotFoundError arises when removing classifiers and regressors. I solved the issue by modifying the firs couple of lines in Supervised.py. @shankarpandala Instead of building a list of tupples (estimator_name, sklearn.moduleX) to remove, create a list with estimator_name to remove, then use it in the list comprehension to remove them. This effectively makes the code run with sklearn 0.23.x and 0.24.x

removed_classifiers = [
    "ClassifierChain",
    "ComplementNB",
    "GradientBoostingClassifier",
    "GaussianProcessClassifier",
    "HistGradientBoostingClassifier",
    "MLPClassifier",
    "LogisticRegressionCV", 
    "MultiOutputClassifier", 
    "MultinomialNB", 
    "OneVsOneClassifier",
    "OneVsRestClassifier",
    "OutputCodeClassifier",
    "RadiusNeighborsClassifier",
    "VotingClassifier",
]

removed_regressors = [
    "TheilSenRegressor",
    "ARDRegression", 
    "CCA", 
    "IsotonicRegression", 
    "StackingRegressor",
    "MultiOutputRegressor", 
    "MultiTaskElasticNet", 
    "MultiTaskElasticNetCV", 
    "MultiTaskLasso", 
    "MultiTaskLassoCV", 
    "PLSCanonical", 
    "PLSRegression", 
    "RadiusNeighborsRegressor", 
    "RegressorChain", 
    "VotingRegressor", 
]
CLASSIFIERS = [est for est in all_estimators() if 
               (issubclass(est[1], ClassifierMixin) and (est[0] not in removed_classifiers))]

REGRESSORS = [est for est in all_estimators() if 
              (issubclass(est[1], RegressorMixin) and (est[0] not in removed_regressors))]

from lazypredict.

Apologies, I am very new to python. I am getting the same error ModuleNotFoundError: No module named 'sklearn.utils.testing'.

Is this issue likely to be fixed in a new version soon? I am unable to install previous versions of lazypredict.

Do we know if editing the Supervised.py under the lazypredict site-packages folder fixes this? If so please could someone share the full contents of the file to update?

from lazypredict.

I have the same error and I am using sklearn 0.24.x.

user@name::~$ pip freeze | grep -i 'learn'
imbalanced-learn==0.7.0
scikit-learn==0.24.2
sklearn==0.0
umap-learn==0.5.1
user@name::~$ pip freeze | grep -i 'lazy'
lazypredict==0.2.9

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