.. _`Select Features from Model`:

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

Select Features from Model
``````````````````````````

.. image:: select_model.svg
   :width: 48


Meta-transformer for selecting features based on importance weight. Only works for models with coef or feature_importances attributes.





Definition
::::::::::


Input ports
...........

    **model**  model
        Model

    **in-data**  table
        in-data


Output ports
............

    **out-data**  table
        out-data

    **features**  table
        features




Configuration
.............

    **threshold** (threshold)
        The threshold value to use for feature selection. Features whose
        absolute importance value is greater or equal are kept while the others
        are discarded. If "median" (resp. "mean"), then the ``threshold`` value
        is the median (resp. the mean) of the feature importances. A scaling
        factor (e.g., "1.25*mean") may also be used. If None and if the
        estimator has a parameter penalty set to l1, either explicitly
        or implicitly (e.g, Lasso), the threshold used is 1e-5.
        Otherwise, "mean" is used by default.









Implementation
..............

.. automodule:: node_application
    :noindex:

.. class:: SelectFromModel
    :noindex: