89b703017ad90e56ce6382bb4686cab3430c46bc,ristretto/sketch/transforms.py,,randomized_uniform_sampling,#Any#Any#Any#Any#,13
Before Change
if A.ndim != 2:
raise ValueError("A must be a 2D array, not %dD" % A.ndim)
if axis not in (0, 1):
raise ValueError("If supplied, axis must be in (0, 1)")
// sample l rows/columns with equal probability
idx = _sketches.random_axis_sample(A, l, axis, random_state)
if axis == 0:
return A[idx]
return A[:, idx]
def johnson_lindenstrauss(A, l, n_subspace=None, axis=1, random_state=None):
After Change
// sample l rows/columns with equal probability
idx = _sketches.random_axis_sample(A, l, axis, random_state)
return np.take(A, idx, axis=axis)
def johnson_lindenstrauss(A, l, n_subspace=None, axis=1, random_state=None):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: erichson/ristretto
Commit Name: 89b703017ad90e56ce6382bb4686cab3430c46bc
Time: 2018-05-22
Author: jknox13@uw.edu
File Name: ristretto/sketch/transforms.py
Class Name:
Method Name: randomized_uniform_sampling
Project Name: scikit-learn-contrib/DESlib
Commit Name: 44bdf9be3b913a1a0e90115e45edbee192d01b90
Time: 2018-03-31
Author: rafaelmenelau@gmail.com
File Name: deslib/des/probabilistic.py
Class Name: Probabilistic
Method Name: estimate_competence
Project Name: automl/auto-sklearn
Commit Name: 84dd314904ba2004ab35bbea65c5f2cb684e073c
Time: 2016-02-24
Author: a.domashnev@gmail.com
File Name: autosklearn/estimators.py
Class Name: AutoSklearnClassifier
Method Name: predict