diff --git a/README.rst b/README.rst index 7b4f1986bc..5ddb4a7639 100644 --- a/README.rst +++ b/README.rst @@ -95,10 +95,18 @@ using the and the `bigframes.ml.compose module `_. BigQuery DataFrames offers the following transformations: -* Use the `OneHotEncoder class `_ - in the ``bigframes.ml.preprocessing`` module to transform categorical values into numeric format. +* Use the `KBinsDiscretizer class `_ + in the ``bigframes.ml.preprocessing`` module to bin continuous data into intervals. +* Use the `LabelEncoder class `_ + in the ``bigframes.ml.preprocessing`` module to normalize the target labels as integer values. +* Use the `MaxAbsScaler class `_ + in the ``bigframes.ml.preprocessing`` module to scale each feature to the range ``[-1, 1]`` by its maximum absolute value. +* Use the `MinMaxScaler class `_ + in the ``bigframes.ml.preprocessing`` module to standardize features by scaling each feature to the range ``[0, 1]``. * Use the `StandardScaler class `_ in the ``bigframes.ml.preprocessing`` module to standardize features by removing the mean and scaling to unit variance. +* Use the `OneHotEncoder class `_ + in the ``bigframes.ml.preprocessing`` module to transform categorical values into numeric format. * Use the `ColumnTransformer class `_ in the ``bigframes.ml.compose`` module to apply transformers to DataFrames columns.