From 2a5bbfc9ac79a0c94388f6adb186890c3c573157 Mon Sep 17 00:00:00 2001 From: Michael Becker Date: Wed, 27 Oct 2021 16:46:18 -0400 Subject: [PATCH] Fix typo Setting `feature_preprocessors` Throws a ValueError. kwarg is `feature_preprocessor` --- doc/manual.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/manual.rst b/doc/manual.rst index 86156bf76b..52e08eef8e 100644 --- a/doc/manual.rst +++ b/doc/manual.rst @@ -50,7 +50,7 @@ random forests. >>> automl = autosklearn.classification.AutoSklearnClassifier( >>> include = { >>> 'classifier': ["random_forest"], ->>> 'feature_preprocessors': ["no_preprocessing"] +>>> 'feature_preprocessor': ["no_preprocessing"] >>> }, >>> exclude=None >>> ) @@ -80,7 +80,7 @@ autosklearn can actually pass the data to sklearn models without error. Feature preprocessing is a single transformer which implements for example feature selection or transformation of features into a different space (i.e. PCA). This can be turned off by setting -``include={'feature_preprocessors'=["no_preprocessing"]}`` as shown in the example above. +``include={'feature_preprocessor'=["no_preprocessing"]}`` as shown in the example above. Resampling strategies =====================