.. _`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.

*Configuration*:


  - *threshold*

    The threshold value to use for feature selection. Features whose
    importance 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.




*Attributes*:




*Input ports*:
    **model** : model
        Model
    **in-data** : table
        in-data

*Output ports*:
    **out-data** : table
        out-data
    **features** : table
        features



**threshold** (threshold)
    The threshold value to use for feature selection. Features whose
    importance 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.

.. automodule:: node_application

.. class:: SelectFromModel