Normalizer¶
Normalize samples individually to unit norm.
Each sample (i.e. each row of the data matrix) with at least one non zero component is rescaled independently of other samples so that its norm (l1, l2 or max) equals one.
Definition¶
Output ports¶
- model model
Model
Configuration¶
- Norm (norm)
The norm to use to normalize each non zero sample. If norm=’max’ is used, values will be rescaled by the maximum of the absolute values.
Implementation¶
- class node_preprocessing.Normalizer[source]