918b07abd405ced498513e874b6fa9e44153aa2b,chaospy/descriptives/quantity_of_interest.py,,QoI_Dist,#,11
Before Change
//sample from the inumpyut dist
samples = dist.sample(sample, **kws)
qoi_dists = []
for i in range(0, len(poly)):
//sample the polynomial solution
if dim == 1:
dataset = poly[i](samples)
else:
dataset = poly[i](*samples)
lo = dataset.min()
up = dataset.max()
//creates qoi_dist
qoi_dist = SampleDist(dataset, lo, up)
qoi_dists.append(qoi_dist)
// reshape the qoi_dists to match the shape of the input poly
if shape:
def reshape(lst, shape):
if len(shape) == 1:
return lst
After Change
dim = len(dist)
//sample from the input dist
samples = numpy.atleast_2d(dist.sample(sample, **kws))
qoi_dist = chaospy.GaussianKDE(poly(*samples))
return qoi_dist

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 7
Instances
Project Name: jonathf/chaospy
Commit Name: 918b07abd405ced498513e874b6fa9e44153aa2b
Time: 2020-10-26
Author: jonathf@users.noreply.github.com
File Name: chaospy/descriptives/quantity_of_interest.py
Class Name:
Method Name: QoI_Dist
Project Name: scikit-learn-contrib/DESlib
Commit Name: f0c15f219b0761b14329ddd416cda82fa4bae841
Time: 2018-03-28
Author: rafaelmenelau@gmail.com
File Name: deslib/dcs/mcb.py
Class Name: MCB
Method Name: estimate_competence
Project Name: scikit-learn-contrib/DESlib
Commit Name: f7a04171e58eb43dfe5b18d06c76481cdf1c5da9
Time: 2018-03-29
Author: rafaelmenelau@gmail.com
File Name: deslib/dcs/lca.py
Class Name: LCA
Method Name: estimate_competence