Python get_custom_dataset_modelpath_pipeline_regression示例

示例#1

def regression_exp_object(method="random"):
    backend = 'sklearn'
    dataset = helpers.load_custom_testing_dataset_regression()
    d = dice_ml.Data(dataframe=dataset, continuous_features=['Numerical'], outcome_name='Outcome')
    ML_modelpath = helpers.get_custom_dataset_modelpath_pipeline_regression()
    m = dice_ml.Model(model_path=ML_modelpath, backend=backend, model_type='regressor')
    exp = dice_ml.Dice(d, m, method=method)
    return exp

示例#2

文件： conftest.py 项目： rmazzine/DiCE

def sklearn_regression_model_interface():
    ML_modelpath = helpers.get_custom_dataset_modelpath_pipeline_regression()
    m = dice_ml.Model(model_path=ML_modelpath,
                      backend='sklearn',
                      model_type='regression')
    return m