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sklearn.cross_validation.check_cv

sklearn.cross_validation.check_cv(cv, X=None, y=None, classifier=False)

Input checker utility for building a CV in a user friendly way.

Parameters :

cv : int, a cv generator instance, or None

The input specifying which cv generator to use. It can be an integer, in which case it is the number of folds in a KFold, None, in which case 3 fold is used, or another object, that will then be used as a cv generator.

X : array-like

The data the cross-val object will be applied on.

y : array-like

The target variable for a supervised learning problem.

classifier : boolean optional

Whether the task is a classification task, in which case stratified KFold will be used.

Returns :

checked_cv: a cross-validation generator instance. :

The return value is guaranteed to be a cv generator instance, whatever the input type.

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