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NeeratyoyNeeratyoy
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Fixing test cases
1 parent 52cbdb7 commit 3b44e86

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Lines changed: 37 additions & 37 deletions

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‎openml/extensions/sklearn/extension.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -514,7 +514,7 @@ def match_format(s):
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return s.strip()
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except ValueError:
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logging.warning("'Read more' not found in descriptions. "
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"Trying to trim till 'Parameters' if available in docstring.")
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"Trying to trim till 'Parameters' if available in docstring.")
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pass
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try:
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# if 'Read more' doesn't exist, trim till 'Parameters'

‎tests/test_extensions/test_sklearn_extension/test_sklearn_extension.py‎

Lines changed: 36 additions & 36 deletions
Original file line numberDiff line numberDiff line change
@@ -277,26 +277,26 @@ def test_serialize_pipeline(self):
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fixture_short_name = 'sklearn.Pipeline(StandardScaler,DummyClassifier)'
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if version.parse(sklearn.__version__) >= version.parse("0.21.0"):
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fixture_description = "Pipeline of transforms with a final estimator.\n\nSequentially " \
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"apply a list of transforms and a final estimator.\nIntermediate " \
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"steps of the pipeline must be 'transforms', that is, they\nmust " \
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"implement fit and transform methods.\nThe final estimator only " \
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"needs to implement fit.\nThe transformers in the pipeline can be " \
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"cached using ``memory`` argument.\n\nThe purpose of the pipeline is" \
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" to assemble several steps that can be\ncross-validated together " \
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"while setting different parameters.\nFor this, it enables setting " \
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"parameters of the various steps using their\nnames and the " \
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"parameter name separated by a '__', as in the example below.\nA " \
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"step's estimator may be replaced entirely by setting the " \
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"parameter\nwith its name to another estimator, or a transformer " \
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"removed by setting\nit to 'passthrough' or ``None``."
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fixture_description = "Pipeline of transforms with a final estimator.\n\nSequentially"\
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" apply a list of transforms and a final estimator.\n"\
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"Intermediate steps of the pipeline must be 'transforms', that "\
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"is, they\nmust implement fit and transform methods.\nThe final "\
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"estimator only needs to implement fit.\nThe transformers in "\
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"the pipeline can be cached using ``memory`` argument.\n\nThe "\
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"purpose of the pipeline is to assemble several steps that can "\
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"be\ncross-validated together while setting different parameters"\
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".\nFor this, it enables setting parameters of the various steps"\
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" using their\nnames and the parameter name separated by a '__',"\
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" as in the example below.\nA step's estimator may be replaced "\
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"entirely by setting the parameter\nwith its name to another "\
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"estimator, or a transformer removed by setting\nit to "\
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"'passthrough' or ``None``."
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else:
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fixture_description = "Pipeline of transforms with a final estimator.\n\nSequentially"\
295-
" apply a list of transforms and a final estimator.\nIntermediate"\
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" steps of the pipeline must be 'transforms', that is, they\nmust "\
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"implement fit and transform methods.\nThe final estimator only "\
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"needs to implement fit.\nThe transformers in the pipeline can "\
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"be cached using ``memory`` argument.\n\nThe purpose of the "\
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" apply a list of transforms and a final estimator.\n"\
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"Intermediate steps of the pipeline must be 'transforms', that "\
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"is, they\nmust implement fit and transform methods.\nThe final"\
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" estimator only needs to implement fit.\n\nThe purpose of the "\
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"pipeline is to assemble several steps that can be\n"\
301301
"cross-validated together while setting different parameters."\
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"\nFor this, it enables setting parameters of the various steps"\
@@ -397,26 +397,26 @@ def test_serialize_pipeline_clustering(self):
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fixture_short_name = 'sklearn.Pipeline(StandardScaler,KMeans)'
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if version.parse(sklearn.__version__) >= version.parse("0.21.0"):
400-
fixture_description = "Pipeline of transforms with a final estimator.\n\nSequentially " \
401-
"apply a list of transforms and a final estimator.\nIntermediate " \
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"steps of the pipeline must be 'transforms', that is, they\nmust " \
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"implement fit and transform methods.\nThe final estimator only " \
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"needs to implement fit.\nThe transformers in the pipeline can be " \
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"cached using ``memory`` argument.\n\nThe purpose of the pipeline is" \
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" to assemble several steps that can be\ncross-validated together " \
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"while setting different parameters.\nFor this, it enables setting " \
408-
"parameters of the various steps using their\nnames and the " \
409-
"parameter name separated by a '__', as in the example below.\nA " \
410-
"step's estimator may be replaced entirely by setting the " \
411-
"parameter\nwith its name to another estimator, or a transformer " \
412-
"removed by setting\nit to 'passthrough' or ``None``."
400+
fixture_description = "Pipeline of transforms with a final estimator.\n\nSequentially"\
401+
" apply a list of transforms and a final estimator.\n"\
402+
"Intermediate steps of the pipeline must be 'transforms', that "\
403+
"is, they\nmust implement fit and transform methods.\nThe final "\
404+
"estimator only needs to implement fit.\nThe transformers in "\
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"the pipeline can be cached using ``memory`` argument.\n\nThe "\
406+
"purpose of the pipeline is to assemble several steps that can "\
407+
"be\ncross-validated together while setting different parameters"\
408+
".\nFor this, it enables setting parameters of the various steps"\
409+
" using their\nnames and the parameter name separated by a '__',"\
410+
" as in the example below.\nA step's estimator may be replaced "\
411+
"entirely by setting the parameter\nwith its name to another "\
412+
"estimator, or a transformer removed by setting\nit to "\
413+
"'passthrough' or ``None``."
413414
else:
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fixture_description = "Pipeline of transforms with a final estimator.\n\nSequentially"\
415-
" apply a list of transforms and a final estimator.\nIntermediate"\
416-
" steps of the pipeline must be 'transforms', that is, they\nmust "\
417-
"implement fit and transform methods.\nThe final estimator only "\
418-
"needs to implement fit.\nThe transformers in the pipeline can "\
419-
"be cached using ``memory`` argument.\n\nThe purpose of the "\
416+
" apply a list of transforms and a final estimator.\n"\
417+
"Intermediate steps of the pipeline must be 'transforms', that "\
418+
"is, they\nmust implement fit and transform methods.\nThe final"\
419+
" estimator only needs to implement fit.\n\nThe purpose of the "\
420420
"pipeline is to assemble several steps that can be\n"\
421421
"cross-validated together while setting different parameters."\
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"\nFor this, it enables setting parameters of the various steps"\

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