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0.20rc1: MeanShift test failure (swapped labels) #12014

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yarikoptic opened this issue Sep 5, 2018 · 2 comments
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0.20rc1: MeanShift test failure (swapped labels) #12014

yarikoptic opened this issue Sep 5, 2018 · 2 comments
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0.20

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@yarikoptic
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While building for Debian sid amd64, not sure if relates (gets fixed by) #11901:

_______________ [doctest] sklearn.cluster.mean_shift_.MeanShift ________________
352         Labels of each point.
353
354     Examples
355     --------
356     >>> from sklearn.cluster import MeanShift
357     >>> import numpy as np
358     >>> X = np.array([[1, 1], [2, 1], [1, 0],
359     ...               [4, 7], [3, 5], [3, 6]])
360     >>> clustering = MeanShift(bandwidth=2).fit(X)
361     >>> clustering.labels_
Expected:
    array([0, 0, 0, 1, 1, 1])
Got:
    array([1, 1, 1, 0, 0, 0])

full buildlog: http://neuro.debian.net/_files/_buildlogs/scikit-learn/0.20~rc1/scikit-learn_0.20~rc1-1_amd64.build
@jnothman
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jnothman commented Sep 5, 2018 via email

@ogrisel ogrisel mentioned this issue Sep 5, 2018
Merged
@jnothman jnothman added this to the 0.20 milestone Sep 5, 2018
@jnothman
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jnothman commented Sep 5, 2018

I'm closing this as presumed fixed by #11901

@jnothman jnothman closed this as completed Sep 5, 2018
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