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LpScaler Class

  • Reference

Description Normalize vectors (rows) individually by rescaling them to unit norm (L2, L1 or LInf). Performs the following operation on a vector X: Y = (X - M) / D, where M is mean and D is either L2 norm, L1 norm or LInf norm.

Inheritance
nimbusml.internal.core.preprocessing.normalization._lpscaler.LpScaler
LpScaler
nimbusml.base_transform.BaseTransform
LpScaler
sklearn.base.TransformerMixin
LpScaler

Constructor

LpScaler(norm='L2', sub_mean=False, columns=None, **params)

Parameters

columns

see Columns.

norm

The norm to use to normalize each sample.

sub_mean

Subtract mean from each value before normalizing.

params

Additional arguments sent to compute engine.

Methods

get_params

Get the parameters for this operator.

get_params

Get the parameters for this operator.

get_params(deep=False)

Parameters

deep
default value: False