Class MaxAbsScaler (0.12.0)

MaxAbsScaler()

Scale each feature by its maximum absolute value.

This estimator scales and translates each feature individually such that the maximal absolute value of each feature in the training set will be 1.0. It does not shift/center the data, and thus does not destroy any sparsity.

Methods

__repr__

__repr__()

Print the estimator's constructor with all non-default parameter values

fit

fit(
    X: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series], y=None
) -> bigframes.ml.preprocessing.MaxAbsScaler

Compute the maximum absolute value to be used for later scaling.

Parameters
NameDescription
X bigframes.dataframe.DataFrame or bigframes.series.Series

The Dataframe or Series with training data.

y default None

Ignored.

Returns
TypeDescription
MaxAbsScalerFitted scaler.

fit_transform

fit_transform(
    X: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series],
    y: typing.Optional[
        typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series]
    ] = None,
) -> bigframes.dataframe.DataFrame

Fit to data, then transform it.

Parameters
NameDescription
X bigframes.dataframe.DataFrame or bigframes.series.Series

Series or DataFrame of shape (n_samples, n_features). Input samples.

y bigframes.dataframe.DataFrame or bigframes.series.Series

Series or DataFrame of shape (n_samples,) or (n_samples, n_outputs). Default None. Target values (None for unsupervised transformations).

Returns
TypeDescription
bigframes.dataframe.DataFrameDataFrame of shape (n_samples, n_features_new) Transformed DataFrame.

get_params

get_params(deep: bool = True) -> typing.Dict[str, typing.Any]

Get parameters for this estimator.

Parameter
NameDescription
deep bool, default True

Default True. If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns
TypeDescription
DictionaryA dictionary of parameter names mapped to their values.

transform

transform(
    X: typing.Union[bigframes.dataframe.DataFrame, bigframes.series.Series]
) -> bigframes.dataframe.DataFrame

Scale the data.

Parameter
NameDescription
X bigframes.dataframe.DataFrame or bigframes.series.Series

The DataFrame or Series to be transformed.

Returns
TypeDescription
bigframes.dataframe.DataFrameTransformed result.