aif360.datasets.MEPSDataset19

class aif360.datasets.MEPSDataset19(label_name='UTILIZATION', favorable_classes=[1.0], protected_attribute_names=['RACE'], privileged_classes=[['White']], instance_weights_name='PERWT15F', categorical_features=['REGION', 'SEX', 'MARRY', 'FTSTU', 'ACTDTY', 'HONRDC', 'RTHLTH', 'MNHLTH', 'HIBPDX', 'CHDDX', 'ANGIDX', 'MIDX', 'OHRTDX', 'STRKDX', 'EMPHDX', 'CHBRON', 'CHOLDX', 'CANCERDX', 'DIABDX', 'JTPAIN', 'ARTHDX', 'ARTHTYPE', 'ASTHDX', 'ADHDADDX', 'PREGNT', 'WLKLIM', 'ACTLIM', 'SOCLIM', 'COGLIM', 'DFHEAR42', 'DFSEE42', 'ADSMOK42', 'PHQ242', 'EMPST', 'POVCAT', 'INSCOV'], features_to_keep=['REGION', 'AGE', 'SEX', 'RACE', 'MARRY', 'FTSTU', 'ACTDTY', 'HONRDC', 'RTHLTH', 'MNHLTH', 'HIBPDX', 'CHDDX', 'ANGIDX', 'MIDX', 'OHRTDX', 'STRKDX', 'EMPHDX', 'CHBRON', 'CHOLDX', 'CANCERDX', 'DIABDX', 'JTPAIN', 'ARTHDX', 'ARTHTYPE', 'ASTHDX', 'ADHDADDX', 'PREGNT', 'WLKLIM', 'ACTLIM', 'SOCLIM', 'COGLIM', 'DFHEAR42', 'DFSEE42', 'ADSMOK42', 'PCS42', 'MCS42', 'K6SUM42', 'PHQ242', 'EMPST', 'POVCAT', 'INSCOV', 'UTILIZATION', 'PERWT15F'], features_to_drop=[], na_values=[], custom_preprocessing=<function default_preprocessing>, metadata={'label_maps': [{1.0: '>= 10 Visits', 0.0: '< 10 Visits'}], 'protected_attribute_maps': [{1.0: 'White', 0.0: 'Non-White'}]})

MEPS Dataset.

See aif360/data/raw/meps/README.md.

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.