x_bar = cph._norm_mean.to_frame().T
X = pd.concat([x_bar] * values.shape[0])
if np.array_equal(np.eye(n_covariates), values):
X.index = ["%s=1" % c for c in covariates]
else:
X.index = [", ".join("%s=%g" % (c, v) for (c, v) in zip(covariates, row)) for row in values]
for covariate, value in zip(covariates, values.T):
X[covariate] = value
cph.predict_survival_function(X)
参考源代码,类似的内容会有所帮助(使用与函数调用相同的参数)
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