本文整理汇总了Python中lifelines.estimation.CoxPHFitter.predict_expectation方法的典型用法代码示例。如果您正苦于以下问题：Python CoxPHFitter.predict_expectation方法的具体用法？Python CoxPHFitter.predict_expectation怎么用？Python CoxPHFitter.predict_expectation使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类lifelines.estimation.CoxPHFitter的用法示例。
在下文中一共展示了CoxPHFitter.predict_expectation方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_prediction_methods_respect_index
# 需要导入模块: from lifelines.estimation import CoxPHFitter [as 别名]
# 或者: from lifelines.estimation.CoxPHFitter import predict_expectation [as 别名]
def test_prediction_methods_respect_index(self, data_pred2):
x = data_pred2[['x1', 'x2']].ix[:3].sort_index(ascending=False)
expected_index = pd.Index(np.array([3, 2, 1, 0]))
cph = CoxPHFitter()
cph.fit(data_pred2, duration_col='t', event_col='E')
npt.assert_array_equal(cph.predict_partial_hazard(x).index, expected_index)
npt.assert_array_equal(cph.predict_percentile(x).index, expected_index)
npt.assert_array_equal(cph.predict_expectation(x).index, expected_index)
aaf = AalenAdditiveFitter()
aaf.fit(data_pred2, duration_col='t', event_col='E')
npt.assert_array_equal(aaf.predict_percentile(x).index, expected_index)
npt.assert_array_equal(aaf.predict_expectation(x).index, expected_index)示例2: test_cox_ph_prediction_monotonicity
# 需要导入模块: from lifelines.estimation import CoxPHFitter [as 别名]
# 或者: from lifelines.estimation.CoxPHFitter import predict_expectation [as 别名]
def test_cox_ph_prediction_monotonicity(self, data_pred2):
# Concordance wise, all prediction methods should be monotonic versions
# of one-another, unless numerical factors screw it up.
t = data_pred2['t']
e = data_pred2['E']
X = data_pred2[['x1', 'x2']]
for normalize in [True, False]:
msg = ("Predict methods should get the same concordance" +
" when {}normalizing".format('' if normalize else 'not '))
cf = CoxPHFitter(normalize=normalize)
cf.fit(data_pred2, duration_col='t', event_col='E')
# Base comparison is partial_hazards
ci_ph = concordance_index(t, -cf.predict_partial_hazard(X).values, e)
ci_med = concordance_index(t, cf.predict_median(X).ravel(), e)
assert ci_ph == ci_med, msg
ci_exp = concordance_index(t, cf.predict_expectation(X).ravel(), e)
assert ci_ph == ci_exp, msg