7ea8c3e6d162ef47fbcfcb6621ff7633d91ae61d,tslearn/early_classification.py,NonMyopicEarlyClassification,_expected_cost,#NonMyopicEarlyClassification#Any#Any#,180
Before Change
cost = 0
proba_clusters = self.get_cluster_probas(X=X)
truncated_t = X.shape[-1]
for k in range(0, self.n_clusters):
sum_pyhatyck = np.sum(self.pyhatyck_["pyhatycks{0}".format(k)][
truncated_t + tau - self.minimum_time_stamp
], axis=0)
sum_global = np.dot(sum_pyhatyck, self.pyck_[:, k])
cost = cost + proba_clusters[:, k] * sum_global
return cost
def minimize_integer(self, end_of_time, xt):
After Change
proba_clusters = self.get_cluster_probas(X=X)
truncated_t = X.shape[-1]
sum_pyhatyck = np.sum(self.pyhatyck_[truncated_t + tau - self.minimum_time_stamp], axis=1)
sum_pyhatyck = np.transpose(sum_pyhatyck)
sum_global = np.sum((sum_pyhatyck * self.pyck_), axis=0)
cost = np.dot(proba_clusters, sum_global)
return cost + self._cost_time(truncated_t + tau)
def cost_function_minimizer(self, end_of_time, xt):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 9
Instances
Project Name: rtavenar/tslearn
Commit Name: 7ea8c3e6d162ef47fbcfcb6621ff7633d91ae61d
Time: 2020-04-16
Author: francois-33
File Name: tslearn/early_classification.py
Class Name: NonMyopicEarlyClassification
Method Name: _expected_cost
Project Name: arraiy/torchgeometry
Commit Name: e18e682858c57124d46c40e8ab1d136c009a1f69
Time: 2020-10-06
Author: daniel.koguciuk@gmail.com
File Name: kornia/geometry/homography.py
Class Name:
Method Name: find_homography_dlt
Project Name: cornellius-gp/gpytorch
Commit Name: 3879bcde8d42c619c96b6483dba14a76a8e5f00b
Time: 2019-09-29
Author: kaw293@cornell.edu
File Name: gpytorch/utils/grid.py
Class Name:
Method Name: create_data_from_grid
Project Name: rtavenar/tslearn
Commit Name: 7ea8c3e6d162ef47fbcfcb6621ff7633d91ae61d
Time: 2020-04-16
Author: francois-33
File Name: tslearn/early_classification.py
Class Name: NonMyopicEarlyClassification
Method Name: _expected_cost