DOC Update an outdated docstring from sklearn.preprocessing.RobustScaler
@@ -956,11 +956,10 @@ class RobustScaler(BaseEstimator, TransformerMixin):
The IQR is the range between the 1st quartile (25th quantile)
and the 3rd quartile (75th quantile).
- Centering and scaling happen independently on each feature (or each
- sample, depending on the ``axis`` argument) by computing the relevant
- statistics on the samples in the training set. Median and interquartile
- range are then stored to be used on later data using the ``transform``
- method.
+ Centering and scaling happen independently on each feature by
+ computing the relevant statistics on the samples in the training
+ set. Median and interquartile range are then stored to be used on
+ later data using the ``transform`` method.
Standardization of a dataset is a common requirement for many
machine learning estimators. Typically this is done by removing the mean
