.. _fwflag_feature_selection:
===================
--feature_selection
===================
Switch
======

--feature_selection NAME (or --feat_selection NAME)

Description
===========

Select feature selection pipeline used in prediction

Argument and Default Value
==========================

There is no default value, whatever is uncommented in regressionPredictor.py will be used. To override this you can use this flag with:

Details
=======


Other Switches
==============

Required Switches:

* :doc:`fwflag_d`, :doc:`fwflag_c`, :doc:`fwflag_t`
* :doc:`fwflag_f`
* :doc:`fwflag_outcome_table`, :doc:`fwflag_outcomes` 

Optional Switches:

* :doc:`fwflag_combo_test_regression`
* :doc:`fwflag_control_adjust_outcomes_regression`
* :doc:`fwflag_control_adjust_reg`
* :doc:`fwflag_predict_cv_to_feats`
* :doc:`fwflag_predict_combo_to_feats`
* :doc:`fwflag_predict_regression_all_to_feats`
* :doc:`fwflag_combo_test_classifiers` 

Example Commands
================

.. code-block:: bash


	# train a language model for age
	dlatkInterface.py -d dla_tutorial -t msgs_xxx -c user_id -f 'feat$cat_met_a30_2000_cp_w$msgs_xxx$user_id$16to16' 'feat$1gram$msgs_xxx$user_id$16to16' --outcome_table masterstats_r500 --group_freq_thresh 500 --outcomes demog_age --train_regression --model ridgefirstpasscv --feat_selection none