From 0d6ef066f07d36e1d1b586e04e6d993babf6de0f Mon Sep 17 00:00:00 2001 From: Emmanuel Ferdman Date: Tue, 12 Nov 2024 22:32:15 +0200 Subject: [PATCH] docs: fix clusterfold-api reference (#716) Signed-off-by: Emmanuel Ferdman --- docs/user-guide/cross-validation.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/user-guide/cross-validation.md b/docs/user-guide/cross-validation.md index c66f6c2e6..b960c2663 100644 --- a/docs/user-guide/cross-validation.md +++ b/docs/user-guide/cross-validation.md @@ -129,7 +129,7 @@ To use `GroupTimeSeriesSplit` with sklearn's [GridSearchCV](https://scikit-learn ## Cluster-Kfold -The [ClusterFoldValidation](clusterfold-api) object is a cross-validator that splits the data into `n_splits` folds, where each fold is determined by a clustering algorithm. This is not a common pattern, probably more like an anti-pattern really, but it might be useful when you want to make sure that the train and test sets are very distinct. This can be seen as a way to make it harder for the algorithm perform well, because the training sets are sampled differently than the test sets. +The [ClusterFoldValidation][clusterfold-api] object is a cross-validator that splits the data into `n_splits` folds, where each fold is determined by a clustering algorithm. This is not a common pattern, probably more like an anti-pattern really, but it might be useful when you want to make sure that the train and test sets are very distinct. This can be seen as a way to make it harder for the algorithm perform well, because the training sets are sampled differently than the test sets. ### Example