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The new scikit-learn release 0.19.1 breaks our tests: https://ci.appveyor.com/project/guolinke/lightgbm/build/2.0.10.1064/job/fg7fvmf5v5shwbeq#L2151
At first sight from logs it seems to be that StratifiedKFold is the root of problems.
StratifiedKFold
I have no free time today (tonight in my timezone), maybe @guolinke, @wxchan, @henry0312 can perform quickfix.
http://scikit-learn.org/stable/whats_new.html#version-0-19-1
The text was updated successfully, but these errors were encountered:
The commit that brings this error: scikit-learn/scikit-learn@94fa697#diff-b127807ffe58ea714328428b780f0afb
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@StrikerRUS we need to change the target to int type in binary and multi classification ?
int
@guolinke I'm not sure, but it seems that in test_cv StratifiedKFold is used for the regression task (boston dataset).
test_cv
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The new scikit-learn release 0.19.1 breaks our tests: https://ci.appveyor.com/project/guolinke/lightgbm/build/2.0.10.1064/job/fg7fvmf5v5shwbeq#L2151
At first sight from logs it seems to be that
StratifiedKFold
is the root of problems.I have no free time today (tonight in my timezone), maybe @guolinke, @wxchan, @henry0312 can perform quickfix.
http://scikit-learn.org/stable/whats_new.html#version-0-19-1
The text was updated successfully, but these errors were encountered: