Index

_ | A | B | C | D | E | F | H | I | L | M | N | O | P | R | S | T

_

A

argument_handler()
- built-in function

AVAILABLE_OUTCOMES (built-in variable)

B

C

calculate_behavioral_columns()
- built-in function
convert_uds_to_binary()
- built-in function

convert_yes_no_to_binary()
- built-in function
CoxProportionalHazard (built-in class)
create_subsets()
- built-in function

D

DataPreprocessor (built-in class)

drop_columns_and_return() (DataPreprocessor method)

E

evaluate() (LogisticModel method)
- (OutcomeModel method)

evaluateOverallTest() (LogisticModel method)

F

feature_selection_and_model_fitting() (LogisticModel method)
fill_nan_with_zero()
- built-in function

find_best_threshold() (LogisticModel method)

H

holdOutTestData()
- built-in function

I

initialize_pipeline()
- built-in function

L

LogisticModel (built-in class)

M

main()
- built-in function

move_column_to_end()
- built-in function

N

NegativeBinomialModel (built-in class)

O

OutcomeModel (built-in class)

P

predict() (BetaRegression method)
- (CoxProportionalHazard method)
- (NegativeBinomialModel method)
preprocess_data()
- built-in function
process_tlfb_columns()
- built-in function

propensityScoreMatch()
- built-in function
PropensityScoreMatchPsmPy()
- built-in function
PropensityScoreMatchRMatchit()
- built-in function

R

rename_columns()
- built-in function

run_pipeline()
- built-in function

S

save_evaluations_to_csv()
- built-in function
save_predictions_to_csv()
- built-in function

selectFeatures() (BetaRegression method)
- (CoxProportionalHazard method)

T

train() (BetaRegression method)
train_and_evaluate_models()
- built-in function

transform_and_rename_column()
- built-in function
transform_data_with_nan_handling()
- built-in function
transform_nan_to_zero_for_binary_columns()
- built-in function