Your message dated Thu, 20 Jun 2024 18:24:06 +0000
with message-id <e1skms6-00bpj5...@fasolo.debian.org>
and subject line Bug#1070201: fixed in scikit-learn 1.4.2+dfsg-2
has caused the Debian Bug report #1070201,
regarding scikit-learn: autopkgtest regression on i386 with NumPy 1.26
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
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--
1070201: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1070201
Debian Bug Tracking System
Contact ow...@bugs.debian.org with problems
--- Begin Message ---
Source: scikit-learn
Version: 1.4.1.post1+dfsg-1
Severity: serious
User: debian...@lists.debian.org
Usertags: regression
Hi Maintainer
scikit-learn's autopkgtest regresses on i386 when tested with numpy
1.26 [1]. I've copied what I hope is the relevant part of the log
below.
Regards
Graham
[1] https://ci.debian.net/packages/s/scikit-learn/testing/i386/
1386s =================================== FAILURES
===================================
35104
1386s ______________________________ test_graphviz_toy
_______________________________
35105
1386s
35106
1386s def test_graphviz_toy():
35107
1386s # Check correctness of export_graphviz
35108
1386s clf = DecisionTreeClassifier(
35109
1386s max_depth=3, min_samples_split=2, criterion="gini", random_state=2
35110
1386s )
35111
1386s clf.fit(X, y)
35112
1386s
35113
1386s # Test export code
35114
1386s contents1 = export_graphviz(clf, out_file=None)
35115
1386s contents2 = (
35116
1386s "digraph Tree {\n"
35117
1386s 'node [shape=box, fontname="helvetica"] ;\n'
35118
1386s 'edge [fontname="helvetica"] ;\n'
35119
1386s '0 [label="x[0] <= 0.0\\ngini = 0.5\\nsamples = 6\\n'
35120
1386s 'value = [3, 3]"] ;\n'
35121
1386s '1 [label="gini = 0.0\\nsamples = 3\\nvalue = [3, 0]"] ;\n'
35122
1386s "0 -> 1 [labeldistance=2.5, labelangle=45, "
35123
1386s 'headlabel="True"] ;\n'
35124
1386s '2 [label="gini = 0.0\\nsamples = 3\\nvalue = [0, 3]"] ;\n'
35125
1386s "0 -> 2 [labeldistance=2.5, labelangle=-45, "
35126
1386s 'headlabel="False"] ;\n'
35127
1386s "}"
35128
1386s )
35129
1386s
35130
1386s assert contents1 == contents2
35131
1386s
35132
1386s # Test plot_options
35133
1386s contents1 = export_graphviz(
35134
1386s clf,
35135
1386s filled=True,
35136
1386s impurity=False,
35137
1386s proportion=True,
35138
1386s special_characters=True,
35139
1386s rounded=True,
35140
1386s out_file=None,
35141
1386s fontname="sans",
35142
1386s )
35143
1386s contents2 = (
35144
1386s "digraph Tree {\n"
35145
1386s 'node [shape=box, style="filled, rounded", color="black", '
35146
1386s 'fontname="sans"] ;\n'
35147
1386s 'edge [fontname="sans"] ;\n'
35148
1386s "0 [label=<x<SUB>0</SUB> ≤ 0.0<br/>samples = 100.0%<br/>"
35149
1386s 'value = [0.5, 0.5]>, fillcolor="#ffffff"] ;\n'
35150
1386s "1 [label=<samples = 50.0%<br/>value = [1.0, 0.0]>, "
35151
1386s 'fillcolor="#e58139"] ;\n'
35152
1386s "0 -> 1 [labeldistance=2.5, labelangle=45, "
35153
1386s 'headlabel="True"] ;\n'
35154
1386s "2 [label=<samples = 50.0%<br/>value = [0.0, 1.0]>, "
35155
1386s 'fillcolor="#399de5"] ;\n'
35156
1386s "0 -> 2 [labeldistance=2.5, labelangle=-45, "
35157
1386s 'headlabel="False"] ;\n'
35158
1386s "}"
35159
1386s )
35160
1386s
35161
1386s assert contents1 == contents2
35162
1386s
35163
1386s # Test max_depth
35164
1386s contents1 = export_graphviz(clf, max_depth=0, class_names=True,
out_file=None)
35165
1386s contents2 = (
35166
1386s "digraph Tree {\n"
35167
1386s 'node [shape=box, fontname="helvetica"] ;\n'
35168
1386s 'edge [fontname="helvetica"] ;\n'
35169
1386s '0 [label="x[0] <= 0.0\\ngini = 0.5\\nsamples = 6\\n'
35170
1386s 'value = [3, 3]\\nclass = y[0]"] ;\n'
35171
1386s '1 [label="(...)"] ;\n'
35172
1386s "0 -> 1 ;\n"
35173
1386s '2 [label="(...)"] ;\n'
35174
1386s "0 -> 2 ;\n"
35175
1386s "}"
35176
1386s )
35177
1386s
35178
1386s assert contents1 == contents2
35179
1386s
35180
1386s # Test max_depth with plot_options
35181
1386s contents1 = export_graphviz(
35182
1386s clf, max_depth=0, filled=True, out_file=None, node_ids=True
35183
1386s )
35184
1386s contents2 = (
35185
1386s "digraph Tree {\n"
35186
1386s 'node [shape=box, style="filled", color="black", '
35187
1386s 'fontname="helvetica"] ;\n'
35188
1386s 'edge [fontname="helvetica"] ;\n'
35189
1386s '0 [label="node #0\\nx[0] <= 0.0\\ngini = 0.5\\n'
35190
1386s 'samples = 6\\nvalue = [3, 3]", fillcolor="#ffffff"] ;\n'
35191
1386s '1 [label="(...)", fillcolor="#C0C0C0"] ;\n'
35192
1386s "0 -> 1 ;\n"
35193
1386s '2 [label="(...)", fillcolor="#C0C0C0"] ;\n'
35194
1386s "0 -> 2 ;\n"
35195
1386s "}"
35196
1386s )
35197
1386s
35198
1386s assert contents1 == contents2
35199
1386s
35200
1386s # Test multi-output with weighted samples
35201
1386s clf = DecisionTreeClassifier(
35202
1386s max_depth=2, min_samples_split=2, criterion="gini", random_state=2
35203
1386s )
35204
1386s clf = clf.fit(X, y2, sample_weight=w)
35205
1386s
35206
1386s > contents1 = export_graphviz(clf, filled=True, impurity=False,
out_file=None)
35207
1386s
35208
1386s /usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py:131:
35209
1386s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _
35210
1386s /usr/lib/python3/dist-packages/sklearn/utils/_param_validation.py:213:
in wrapper
35211
1386s return func(*args, **kwargs)
35212
1386s /usr/lib/python3/dist-packages/sklearn/tree/_export.py:906: in
export_graphviz
35213
1386s exporter.export(decision_tree)
35214
1386s /usr/lib/python3/dist-packages/sklearn/tree/_export.py:466: in export
35215
1386s self.recurse(decision_tree.tree_, 0, criterion=decision_tree.criterion)
35216
1386s /usr/lib/python3/dist-packages/sklearn/tree/_export.py:529: in recurse
35217
1386s ', fillcolor="%s"' % self.get_fill_color(tree, node_id)
35218
1386s /usr/lib/python3/dist-packages/sklearn/tree/_export.py:286: in
get_fill_color
35219
1386s return self.get_color(node_val)
35220
1386s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _ _ _ _ _
35221
1386s
35222
1386s self = <sklearn.tree._export._DOTTreeExporter object at 0xe643bcf0>
35223
1386s value = -0.4691358024691358
35224
1386s
35225
1386s def get_color(self, value):
35226
1386s # Find the appropriate color & intensity for a node
35227
1386s if self.colors["bounds"] is None:
35228
1386s # Classification tree
35229
1386s color = list(self.colors["rgb"][np.argmax(value)])
35230
1386s sorted_values = sorted(value, reverse=True)
35231
1386s if len(sorted_values) == 1:
35232
1386s alpha = 0.0
35233
1386s else:
35234
1386s alpha = (sorted_values[0] - sorted_values[1]) / (1 - sorted_values[1])
35235
1386s else:
35236
1386s # Regression tree or multi-output
35237
1386s color = list(self.colors["rgb"][0])
35238
1386s alpha = (value - self.colors["bounds"][0]) / (
35239
1386s self.colors["bounds"][1] - self.colors["bounds"][0]
35240
1386s )
35241
1386s # compute the color as alpha against white
35242
1386s > color = [int(round(alpha * c + (1 - alpha) * 255, 0)) for c in color]
35243
1386s E ValueError: cannot convert float NaN to integer
35244
1386s
35245
1386s /usr/lib/python3/dist-packages/sklearn/tree/_export.py:258: ValueError
--- End Message ---
--- Begin Message ---
Source: scikit-learn
Source-Version: 1.4.2+dfsg-2
Done: Michael R. Crusoe <cru...@debian.org>
We believe that the bug you reported is fixed in the latest version of
scikit-learn, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to 1070...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Michael R. Crusoe <cru...@debian.org> (supplier of updated scikit-learn package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmas...@ftp-master.debian.org)
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Thu, 20 Jun 2024 19:38:04 +0200
Source: scikit-learn
Architecture: source
Version: 1.4.2+dfsg-2
Distribution: unstable
Urgency: medium
Maintainer: Debian Science Maintainers
<debian-science-maintain...@lists.alioth.debian.org>
Changed-By: Michael R. Crusoe <cru...@debian.org>
Closes: 1070201
Changes:
scikit-learn (1.4.2+dfsg-2) unstable; urgency=medium
.
* Team upload.
* Apply patch from upstream to fix autopkgtest regression on i386.
Closes: #1070201
* d/control: -docs: suggest the related/linked -docs packages.
* d/patches/no-download-intersphinx-mapping.patch: fix some paths, link
to the packaged docs not the remote docs.
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