autoprognosis.plugins.prediction.risk_estimation.benchmarks.diabetes.finrisk.model module

class FINRISKModel

Bases: object

fit(*args: Any, **kwargs: Any) → FINRISKModel

predict(df: DataFrame, times: list = []) → Any

score(X: DataFrame, Y: DataFrame) → float

inference(gender: str, age: float, bmi: float, waist: float, b_daily_exercise: bool, b_daily_vegs: bool, b_treatedhyp: bool, b_ever_had_high_glucose: bool, fh_diab: int) → float