aa50234c0e3854567214a3109188ee9bedc33551,cde/BaseConditionalDensity.py,ConditionalDensity,_conditional_value_at_risk_mc_pdf,#ConditionalDensity#Any#Any#Any#Any#,221
Before Change
p = self.pdf(x_cond_tiled, y_samples).flatten()
q = exp_f.flatten()
importance_weights = p / q
cvar = np.mean(y_samples * importance_weights, axis=0) / alpha
CVaRs[i] = cvar
return CVaRs
After Change
def _conditional_value_at_risk_mc_pdf(self, VaRs, x_cond, alpha=0.01, n_samples=10 ** 6):
assert VaRs.shape[0] == x_cond.shape[0], "same number of x_cond must match the number of values_at_risk provided"
assert self.ndim_y == 1, "this function only supports only ndim_y = 1"
assert x_cond.ndim == 2
n_samples_int, lower, _ = self._determine_integration_bounds()
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances Project Name: freelunchtheorem/Conditional_Density_Estimation
Commit Name: aa50234c0e3854567214a3109188ee9bedc33551
Time: 2019-01-18
Author: jonas.rothfuss@gmx.de
File Name: cde/BaseConditionalDensity.py
Class Name: ConditionalDensity
Method Name: _conditional_value_at_risk_mc_pdf
Project Name: scikit-learn/scikit-learn
Commit Name: 4f496868c6aa7f50db99229847285efbe50040c2
Time: 2020-08-03
Author: 34657725+jeremiedbb@users.noreply.github.com
File Name: sklearn/cluster/tests/test_k_means.py
Class Name:
Method Name: test_n_init
Project Name: tensorflow/models
Commit Name: 8da4857396fcedb1abd19a08cd4de40d16c7bc50
Time: 2020-08-17
Author: 30733558+plakal@users.noreply.github.com
File Name: research/audioset/yamnet/yamnet_test.py
Class Name: YAMNetTest
Method Name: clip_test
Project Name: HsinYingLee/DRIT
Commit Name: 8a04fa2c91f52a9c551849812d450079e667b16a
Time: 2018-07-28
Author: hytseng0509@gmail.com
File Name: src/networks.py
Class Name: LayerNorm
Method Name: forward