run module

Entry point to run the experiments

run.get_preds(model, samples, masks, seed)

Computes the predictions of the model for the given samples without modifying the random state.

Parameters

• model – Any; model to use for the imputation

• samples – np.ndarray(Float); samples to impute

• masks – np.ndarray(Float); corresponding mask matrix

• seed – Integer; seed to use

Returns

np.ndarray(Float); imputed samples

run.main(args)

Entry point of the program; prints results.

Parameters

args – ArgumentParser; arguments of the program (see pipeline/argument_parser.py)