--test_combined_regression

Switch

--test_combined_regression FEAT_TABLE [FEAT_TABLE ...]

Description

Trains and tests a "combined" regression model that fits a separate sub-model per feature table (one model per -f table, plus one per table given here) and combines their predictions, rather than concatenating all features into a single model.

Argument and Default Value

One or more additional feature table names — not the same as -f, which supplies the first table(s). Default: [].

Details

Verified end-to-end: with a 1to3gram table via -f and a Facebook-topics table passed to this switch, ran a full train/test cycle and printed per-model evaluation (R², Pearson r, Spearman rho, MSE, MAE) followed by a ***Combined Results*** section.

Other Switches

Required Switches:

• -d, -g, -t

• -f (the primary feature table)

• --outcome_table, --outcomes

Optional Switches:

• --combined_models

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$0_05' \
--outcome_table blog_outcomes --outcomes age \
--test_combined_regression 'feat$cat_met_a30_2000_cp_w$msgs$user_id$16to16'