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TimeSeriesSplit
1 parent db21513 commit 1aeef80Copy full SHA for 1aeef80
sklearn/model_selection/_split.py
@@ -1110,10 +1110,10 @@ class TimeSeriesSplit(_BaseKFold):
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while the train set size accumulates data from previous splits.
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This cross-validation object is a variation of :class:`KFold`.
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- In the kth split, it returns first k folds as train set and the
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- (k+1)th fold as test set.
+ In the k-th split, it returns the first k folds as the train set and the
+ (k+1)-th fold as the test set.
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- Note that unlike standard cross-validation methods, successive
+ Note that, unlike standard cross-validation methods, successive
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training sets are supersets of those that come before them.
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Read more in the :ref:`User Guide <time_series_split>`.
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