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

class ADAModel

Bases: object

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

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

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

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