--feature_selection_string

Switch

--feature_selection_string NAME (or --feat_selection_string NAME)

Description

Select feature selection pipeline used in prediction

Argument and Default Value

NAME must be any of the featureSelectionString strings found in regressionPredictor.py. There is no default value.

Details

Other Switches

Required Switches:

• -d, -g, -t

• -f

• --outcome_table, --outcomes

Optional Switches:

• --nfold_test_regression

• --control_adjust_outcomes_regression

• --control_adjust_reg

• --predict_cv_to_feats

• --predict_combo_to_feats

• --predict_regression_all_to_feats

• --nfold_test_classifiers

Example Commands

# train a language model for age
dlatkInterface.py -d dla_tutorial -t msgs_xxx -c user_id -f 'feat$cat_met_a30_2000_cp_w$msgs_xxx$user_id$16to16' 'feat$1gram$msgs_xxx$user_id$16to16' --outcome_table masterstats_r500 --group_freq_thresh 500 --outcomes demog_age --train_regression --model ridgefirstpasscv --feat_selection_string 'SelectFwe(f_regression, alpha=60.0)'