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Fix typo in docs #1271

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Nov 3, 2021
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Fix typo in docs #1271

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4 changes: 2 additions & 2 deletions doc/manual.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -50,7 +50,7 @@ random forests.
>>> automl = autosklearn.classification.AutoSklearnClassifier(
>>> include = {
>>> 'classifier': ["random_forest"],
>>> 'feature_preprocessors': ["no_preprocessing"]
>>> 'feature_preprocessor': ["no_preprocessing"]
>>> },
>>> exclude=None
>>> )
Expand Down Expand Up @@ -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
=====================
Expand Down