.. _`Normalizer`:

.. _`org.sysess.sympathy.machinelearning.normalizer`:

Normalizer
``````````

.. image:: normalizer.svg
   :width: 48



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
..............

.. automodule:: node_preprocessing
    :noindex:

.. class:: Normalizer
    :noindex: