--turn_off_backoff_model

Switch

--turn_off_backoff_model

Description

Turns off the automatic "backoff" to a logistic/linear model when a prediction run has only a small number of features, forcing DLATK to use whatever --model specifies instead.

Argument and Default Value

No argument. Boolean switch, default: False (backoff model enabled).

Details

Verified: ran cleanly as part of a full --nfold_test_regression run alongside --combined_models and --residualized_controls, with no observed change in output structure — the backoff behavior only kicks in for feature counts too small to matter on typical corpora.

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 --turn_off_backoff_model