--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 --nfold_test_regression run (--combined_models ridge linear) — output showed [COMBINED FEATS: Training regression model: ridgecv] reflecting the combined-model path.

Other Switches

Optional Switches:

• --model

Example Commands

Using the packaged dla_tutorial dataset (see Differential Language Analysis (DLA) Tutorial):

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