--train_c2r

Switch

--train_c2r

Description

Trains a "classify-to-regression" model: first classifies groups into bins, then regresses to predict the original continuous outcome.

Argument and Default Value

No argument. Boolean switch, default: False.

Details

Same underlying ClassifyToRegressionPredictor as --test_c2r and --predict_c2r — see the verified requirement on that page: it looks up outcomes via a bin_<outcome> column name (e.g. bin_age), not the plain outcome column. Not independently exercised past that point in this pass.

Other Switches

Required Switches:

• -d, -g, -t

• -f

• --outcome_table, --outcomes (with a matching bin_<outcome> column present)

Example Commands

Using the packaged dla_tutorial dataset (see Differential Language Analysis (DLA) Tutorial), assuming a bin_age column exists in blog_outcomes:

dlatkInterface.py -d dla_tutorial -t msgs -c user_id -f 'feat$1to3gram$msgs$user_id$0_05' \
--outcome_table blog_outcomes --outcomes age --train_c2r