# 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.
fit(y)[source]

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. 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. prob – Probability of an event. array, shape = (n_samples,)