sksurv.nonparametric.SurvivalFunctionEstimator¶

class sksurv.nonparametric.SurvivalFunctionEstimator[source]¶

Kaplan–Meier estimate of the survival function.

__init__()[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`()	Initialize self.
`fit`(y)	Estimate survival distribution from training data.
`predict_proba`(time)	Return probability of an event after given time point.

Estimate survival distribution from training data.

Parameters: y (structured array, shape = (n_samples,)) – A structured array containing the binary event indicator as first field, and time of event or time of censoring as second field.
Returns
Return type: self

predict_proba(time)[source]¶

Return probability of an event after given time point.

\(\hat{S}(t) = P(T > t)\)

Parameters: time (array, shape = (n_samples,)) – Time to estimate probability at.
Returns: prob – Probability of an event.
Return type: array, shape = (n_samples,)