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[MRG+1] Clarify error message for min_samples_split. #8167

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Merged
merged 1 commit into from
Jan 8, 2017
Merged

[MRG+1] Clarify error message for min_samples_split. #8167

merged 1 commit into from
Jan 8, 2017

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mikebenfield
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I found the error message for a tree when min_samples_split == 1 (an int) confusing. There was a earlier commit 25 days ago that I think was supposed to resolve this problem, but maybe this change will be still clearer?

Without this commit, we get this:

~ $ cat example.py 
from sklearn.tree import DecisionTreeClassifier
dtc = DecisionTreeClassifier(min_samples_split=1)
dtc.fit([[0]], [0])
~ $ python example.py 
Traceback (most recent call last):
  File "example.py", line 3, in <module>
    dtc.fit([[0]], [0])
  File "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/tree/tree.py", line 739, in fit
    X_idx_sorted=X_idx_sorted)
  File "/opt/local/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/tree/tree.py", line 199, in fit
    % self.min_samples_split)
ValueError: min_samples_split must be at least 2 or in (0, 1.0], got 1

@jnothman
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jnothman commented Jan 7, 2017

LGTM

@jnothman jnothman changed the title Clarify error message for min_samples_split. [MRG+1] Clarify error message for min_samples_split. Jan 7, 2017
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@nelson-liu nelson-liu left a comment

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LGTM as well, when I was writing the other PR I thought people would differentiate between the integer 1 and the float range but I agree it is unclear.

@jnothman jnothman merged commit 84cc67b into scikit-learn:master Jan 8, 2017
@jnothman
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jnothman commented Jan 8, 2017

Thanks

sergeyf pushed a commit to sergeyf/scikit-learn that referenced this pull request Feb 28, 2017
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3 participants