Join GitHub today
GitHub is home to over 31 million developers working together to host and review code, manage projects, and build software together.Sign up
[MRG+1] test method subset invariance (Fixes #10420) #10428
for now, make exceptions for these cases. Your test also needs an instructive error message when the assertion fails, and an explicit test. SparsePCA uses a ridge regression where each sample is a target. I don't think this should affect things, but it might. It then uses a global normalisation step which is problematic as in OvO/SVC. Please open a new issue for this. RBM I don't think we can easily fix. It randomly corrupts one feature in each sample. For fixed random seed, the first sample will always have the same feature corrupted... The only alternative I can think of is to make the randoms a function of a cryptographic hash of the data, which is overkill.