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[WIP] Concise code to obtain estimators for each split in the cross val doc #9496

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[WIP] Concise code to obtain estimators for each split in the cross val doc #9496

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added concise code to obtain estimators for each fit in the cross val…
bellet Aug 4, 2017
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Merge branch 'master' of github.com:scikit-learn/scikit-learn into i/…
bellet Sep 4, 2017
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12 changes: 12 additions & 0 deletions doc/modules/cross_validation.rst
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Expand Up @@ -699,6 +699,18 @@ Example of 3-split time series cross-validation on a dataset with 6 samples::
[0 1 2 3 4] [5]


Obtaining estimators for each split
===================================

While there is no built-in way to obtain the estimators fitted on each split, the following concise piece of code shows how to achieve this while retaining parallel training::

def fit_estimator(est, X, y):
return est.fit(X, y)

clf_cv = Parallel(n_jobs=-1)(delayed(fit_estimator)(
MyEstimator(), X[train], y[train]) for train, _ in SomeCrossValidation().split(X, y))


A note on shuffling
===================

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