aif360.datasets.LawSchoolGPADataset

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

Law School GPA dataset.

See https://github.com/microsoft/tempeh for details.

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'], privileged_classes=[['white']], instance_weights_name=None, categorical_features=[], na_values=[], custom_preprocessing=None, metadata=None)[source]

See RegressionDataset for a description of the arguments.