[FIX] Fix Chi2 computation for variables with values with no instances#2031
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astaric merged 1 commit intobiolab:masterfrom Feb 21, 2017
jerneju:ghissue-2020
Merged
[FIX] Fix Chi2 computation for variables with values with no instances#2031astaric merged 1 commit intobiolab:masterfrom jerneju:ghissue-2020
astaric merged 1 commit intobiolab:masterfrom
jerneju:ghissue-2020
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Codecov Report
@@ Coverage Diff @@
## master #2031 +/- ##
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- Coverage 70.7% 69.69% -1.01%
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Files 343 343
Lines 54469 54478 +9
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- Hits 38510 37967 -543
- Misses 15959 16511 +552Continue to review full report at Codecov.
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astaric
requested changes
Feb 20, 2017
Orange/widgets/visualize/owsieve.py
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| self.residuals = \ | ||
| (self.observed - self.expected) / np.sqrt(self.expected) | ||
| where_are_NaNs = np.isnan(self.residuals) | ||
| self.residuals[where_are_NaNs] = 0 |
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| gh-2031 | ||
| Check if it can calculate chi square when there are no attributes which suppose to be. | ||
| """ | ||
| tempdir = tempfile.mkdtemp() |
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Instead of creating files in code, you could either commit the file along the test, or even better create the table directly with something along the lines of:
a, b = Orange.data.DiscreteVariable("a", values=["y", "n"]), Orange.data.DiscreteVariable("b", values=["y", "n", "other"])
t = Orange.data.Table(Orange.data.Domain([a, b], list(zip("yynny", "ynyyn"))))
…which suppose to be Chi-squared test is nan when there are attributes which are not in the data. It is caused by division by zero because code does not calculate limits. It actually suppose to be 0. Check if there is NaN in the array and then change that value to 0. - [X] Code changes - [X] Tests - [ ] Documentation
astaric
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astaric
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Feb 21, 2017
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Chi-squared test is nan when there are attributes which are not in the data. It is caused by division by zero because code does not calculate limits. It actually suppose to be 0.