synthcity.plugins.core.models.survival_analysis._base module

class SurvivalAnalysisPlugin

Bases: synthcity.plugins.core.serializable.Serializable

abstract fit(X: pandas.core.frame.DataFrame, T: pandas.core.series.Series, Y: pandas.core.series.Series) → Any

Training logic

abstract static hyperparameter_space(**kwargs: Any) → List[synthcity.plugins.core.distribution.Distribution]

Returns the hyperparameter space for the derived plugin.

static load(buff: bytes) → Any

static load_dict(representation: dict) → Any

abstract static name() → str

The name of the plugin.

abstract predict(X: pandas.core.frame.DataFrame, time_horizons: List) → pandas.core.frame.DataFrame

Predict risk

classmethod sample_hyperparameters(*args: Any, **kwargs: Any) → Dict[str, Any]

Sample value from the hyperparameter space for the current plugin.

save() → bytes

save_dict() → dict

save_to_file(path: pathlib.Path) → bytes

static version() → str

API version