From 03464cf76863f79d2dfcb3fd25bd2ffef1c3e630 Mon Sep 17 00:00:00 2001 From: Ashley Xu Date: Thu, 12 Oct 2023 17:47:26 +0000 Subject: [PATCH] docs: update ML overview API doc --- README.rst | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) 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.