tempor.models.clairvoyance2.datasets.uci module¶

class tempor.models.clairvoyance2.datasets.uci.UCIDiabetesRetriever(data_home: str | None = None, make_regular: bool = False, use_int_index: bool = False)[source]¶

Bases: DatasetRetriever

dataset_subdir : str = 'uci_diabetes'¶

dataset_files : Sequence[tuple[TUrl, str]] | None = [('https://archive.ics.uci.edu/ml/machine-learning-databases/diabetes/Index', 'Index'), ('https://archive.ics.uci.edu/ml/machine-learning-databases/diabetes/README', 'README'), ('https://archive.ics.uci.edu/ml/machine-learning-databases/diabetes/diabetes-data.tar.Z', 'diabetes-data.tar.Z')]¶

codes_map = {33: 'regular_insulin_dose', 34: 'nph_insulin_dose', 35: 'ultralente_insulin_dose', 48: 'unspecified_blood_glucose_measurement', 57: 'unspecified_blood_glucose_measurement', 58: 'pre-breakfast_blood_glucose_measurement', 59: 'post-breakfast_blood_glucose_measurement', 60: 'pre-lunch_blood_glucose_measurement', 61: 'post-lunch_blood_glucose_measurement', 62: 'pre-supper_blood_glucose_measurement', 63: 'post-supper_blood_glucose_measurement', 64: 'pre-snack_blood_glucose_measurement', 65: 'hypoglycemic_symptoms', 66: 'typical_meal_ingestion', 67: 'more-than-usual_meal_ingestion', 68: 'less-than-usual_meal_ingestion', 69: 'typical_exercise_activity', 70: 'more-than-usual_exercise_activity', 71: 'less-than-usual_exercise_activity', 72: 'unspecified_special_event'}¶

features = ['regular_insulin_dose', 'nph_insulin_dose', 'ultralente_insulin_dose', 'unspecified_blood_glucose_measurement', 'pre-breakfast_blood_glucose_measurement', 'post-breakfast_blood_glucose_measurement', 'pre-lunch_blood_glucose_measurement', 'post-lunch_blood_glucose_measurement', 'pre-supper_blood_glucose_measurement', 'post-supper_blood_glucose_measurement', 'pre-snack_blood_glucose_measurement', 'hypoglycemic_symptoms', 'typical_meal_ingestion', 'more-than-usual_meal_ingestion', 'less-than-usual_meal_ingestion', 'typical_exercise_activity', 'more-than-usual_exercise_activity', 'less-than-usual_exercise_activity', 'unspecified_special_event']¶

property dataset_extracted_dir¶

extract() → None[source]¶

process_individual_file(filepath: str) → DataFrame[source]¶

is_cached() → bool[source]¶

get_cache() → Dataset[source]¶

cache(data: Dataset) → None[source]¶

prepare() → Dataset[source]¶

tempor.models.clairvoyance2.datasets.uci.uci_diabetes(data_home: str | None = None, refresh_cache: bool = False, redownload: bool = False, make_regular: bool = False, use_int_index: bool = False) → Dataset[source]¶