Hi Andy,
I now have results for LinearDiscriminantAnalysis and the SGDClassifier.
I updated the results online.
The LinearDiscriminantAnalysis had
* an infinity of NaN for data that approaches MAXDOUBLE and
* problems with an internal array size computation for data for
several tests, i.
Hi Andy,
thanks for your detailed feedback.
The random states are fixed, and set immediately before calling the fit
function. Here is a gist with the code for one smoke tests and a
metamorphic test [1].
I will run the tests for LinearDiscriminantAnalysis and the
SGDClassifier. I somehow mis
Hi Steffen.
Thanks for sharing your analysis. We really need more work in this
direction.
I assume you fixed the random states everywhere?
I consider these tests helpful but not all your expectations are
warranted depending on the model.
If you add one to each feature, there is no expectati
Dear developers,
I am writing you because I applied an approach for the automated testing
of classification algorithms to scikit-learn and would like to forward
the results to you.
The approach is a combination of smoke testing and metamorphic testing.
The smoke tests try to find problems by
