.. _fwflag_combined_models:
==================
--combined_models
==================
Switch
======

--combined_models MODEL [MODEL ...]

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

Model(s) to combine when using a multi-feature-set prediction (e.g. ``svc``, ``linear-svc``, ``ridge``, ``linear``).

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

One or more model name strings. Default: ``dlac.DEF_COMB_MODELS``.

Details
=======

Verified: ran cleanly as part of a full :doc:`fwflag_combo_test_regression` run (``--combined_models ridge linear``) — output showed ``[COMBINED FEATS: Training regression model: ridgecv]`` reflecting the combined-model path.

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

Optional Switches:

* :doc:`fwflag_model`

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

Using the packaged ``dla_tutorial`` dataset (see :doc:`../../tutorials/tut_dla`):

.. code-block:: bash

	dlatkInterface.py -d dla_tutorial -t msgs -c user_id -f 'feat$1to3gram$msgs$user_id$0_05' \
	--outcome_table blog_outcomes --outcomes age --combo_test_regression --combined_models ridge linear