bigframes.ml.preprocessing.MinMaxScaler#

class bigframes.ml.preprocessing.MinMaxScaler[source]#

Transform features by scaling each feature to a given range.

This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.

fit(X: DataFrame | Series | DataFrame | Series, y=None) → MinMaxScaler[source]#

Compute the minimum and maximum to be used for later scaling.

Parameters:

X (bigframes.dataframe.DataFrame or bigframes.series.Series or pandas.core.frame.DataFrame or pandas.core.series.Series) – The Dataframe or Series with training data.
y (default None) – Ignored.

Returns:

Fitted scaler.

Return type:

MaxAbsScaler

transform(X: DataFrame | Series | DataFrame | Series) → DataFrame[source]#

Scale the data.

Parameters:: X (bigframes.dataframe.DataFrame or bigframes.series.Series or pandas.core.frame.DataFrame or pandas.core.series.Series) – The DataFrame or Series to be transformed.
Returns:: Transformed result.
Return type:: bigframes.dataframe.DataFrame