def binary_classification_exp_object_out_of_order(method="random"):
backend = 'sklearn'
dataset = helpers.load_outcome_not_last_column_dataset()
d = dice_ml.Data(dataframe=dataset, continuous_features=['Numerical'], outcome_name='Outcome')
ML_modelpath = helpers.get_custom_dataset_modelpath_pipeline_binary()
m = dice_ml.Model(model_path=ML_modelpath, backend=backend)
exp = dice_ml.Dice(d, m, method=method)
return exp
def genetic_binary_classification_exp_object():
backend = 'sklearn'
dataset = helpers.load_custom_testing_dataset_binary()
d = dice_ml.Data(dataframe=dataset,
continuous_features=['Numerical'],
outcome_name='Outcome')
ML_modelpath = helpers.get_custom_dataset_modelpath_pipeline_binary()
m = dice_ml.Model(model_path=ML_modelpath, backend=backend)
exp = dice_ml.Dice(d, m, method='genetic')
return exp
def sklearn_binary_classification_model_interface():
ML_modelpath = helpers.get_custom_dataset_modelpath_pipeline_binary()
m = dice_ml.Model(model_path=ML_modelpath,
backend='sklearn',
model_type='classifier')
return m