aif360.datasets.LawSchoolGPADataset

class aif360.datasets.LawSchoolGPADataset(dep_var_name='zfygpa', protected_attribute_names=['race', 'gender'], privileged_classes=[['white'], ['male']], instance_weights_name=None, categorical_features=[], na_values=[], custom_preprocessing=None, metadata=None)[source]

Law School GPA dataset.

See RegressionDataset for a description of the arguments.

Methods

align_datasets

Align the other dataset features, labels and protected_attributes to this dataset.

convert_to_dataframe

Convert the StructuredDataset to a pandas.DataFrame.

copy

Convenience method to return a copy of this dataset.

export_dataset

Export the dataset and supporting attributes TODO: The preferred file format is HDF

import_dataset

Import the dataset and supporting attributes TODO: The preferred file format is HDF

split

Split this dataset into multiple partitions.

subset

Subset of dataset based on position :param indexes: iterable which contains row indexes

temporarily_ignore

Temporarily add the fields provided to ignore_fields.

validate_dataset

Error checking and type validation.

__init__(dep_var_name='zfygpa', protected_attribute_names=['race', 'gender'], privileged_classes=[['white'], ['male']], instance_weights_name=None, categorical_features=[], na_values=[], custom_preprocessing=None, metadata=None)[source]

See RegressionDataset for a description of the arguments.