Sklearn Normalizer Transform

Normalizes samples individually to unit norm.

Type

ml-predict

Class

fire.nodes.sklearn.preprocessing.NodeNormalizerFitTransformSklearn

Fields

Details

Sklearn Normalizer Transform Node Details

The Sklearn Normalizer Transform Node is used to normalize the samples of a DataFrame individually to unit norm. It uses the sklearn library to apply the Normalizer transformation to the input data. This transformation can be useful for feature scaling and normalization tasks. The Normalizer scales the features by transforming them such that the sum of their squares is equal to 1.

Input Parameters

NORM : The norm to use to normalize the samples. Default is ‘l2’