Uploaded Test files

venv/Lib/site-packages/sklearn/model_selection/__init__.py

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+from ._split import BaseCrossValidator
+from ._split import KFold
+from ._split import GroupKFold
+from ._split import StratifiedKFold
+from ._split import TimeSeriesSplit
+from ._split import LeaveOneGroupOut
+from ._split import LeaveOneOut
+from ._split import LeavePGroupsOut
+from ._split import LeavePOut
+from ._split import RepeatedKFold
+from ._split import RepeatedStratifiedKFold
+from ._split import ShuffleSplit
+from ._split import GroupShuffleSplit
+from ._split import StratifiedShuffleSplit
+from ._split import PredefinedSplit
+from ._split import train_test_split
+from ._split import check_cv
+
+from ._validation import cross_val_score
+from ._validation import cross_val_predict
+from ._validation import cross_validate
+from ._validation import learning_curve
+from ._validation import permutation_test_score
+from ._validation import validation_curve
+
+from ._search import GridSearchCV
+from ._search import RandomizedSearchCV
+from ._search import ParameterGrid
+from ._search import ParameterSampler
+from ._search import fit_grid_point
+
+__all__ = ('BaseCrossValidator',
+           'GridSearchCV',
+           'TimeSeriesSplit',
+           'KFold',
+           'GroupKFold',
+           'GroupShuffleSplit',
+           'LeaveOneGroupOut',
+           'LeaveOneOut',
+           'LeavePGroupsOut',
+           'LeavePOut',
+           'RepeatedKFold',
+           'RepeatedStratifiedKFold',
+           'ParameterGrid',
+           'ParameterSampler',
+           'PredefinedSplit',
+           'RandomizedSearchCV',
+           'ShuffleSplit',
+           'StratifiedKFold',
+           'StratifiedShuffleSplit',
+           'check_cv',
+           'cross_val_predict',
+           'cross_val_score',
+           'cross_validate',
+           'fit_grid_point',
+           'learning_curve',
+           'permutation_test_score',
+           'train_test_split',
+           'validation_curve')

venv/Lib/site-packages/sklearn/model_selection/tests/common.py

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+"""
+Common utilities for testing model selection.
+"""
+
+import numpy as np
+
+from sklearn.model_selection import KFold
+
+
+class OneTimeSplitter:
+    """A wrapper to make KFold single entry cv iterator"""
+    def __init__(self, n_splits=4, n_samples=99):
+        self.n_splits = n_splits
+        self.n_samples = n_samples
+        self.indices = iter(KFold(n_splits=n_splits).split(np.ones(n_samples)))
+
+    def split(self, X=None, y=None, groups=None):
+        """Split can be called only once"""
+        for index in self.indices:
+            yield index
+
+    def get_n_splits(self, X=None, y=None, groups=None):
+        return self.n_splits