Comments (2)
jameschapman19
commented on June 1, 2024
1
Hi @htwangtw,
Thanks very much!
I'd be more than happy to accept a PR and acknowledge it. There should be some easy ones like you say where I've written the assertion but not written a helpful exception e.g. PMD has regularisation 1<c<sqrt(#features) to ensure that both L1 and L2 constraints are active. Happy to answer any questions on any of these.
There's others where I've been intending to add assertions/exceptions but need to have a think about what they are - e.g. DCCA is typically only stable for batch size > latent dimensions. If there's any obvious ones then again happy to accept them.
If you do a PR (or otherwise) and in the process spot anything that looks odd give me a shout!
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htwangtw
commented on June 1, 2024
I am modifying the existing assertions for now! It would be great for you to have a look.
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Related Issues (20)
- GRCCA gives quite different results with original implementation HOT 9
- The cca loss of two irrelevant dataset is -20. HOT 13
- The DCCA loss of two equal view is -6 (dim=100). HOT 12
- when run "python plot_dcca.py" error occurs HOT 2
- problem of latent_dims setting of DCCA_EigenGame HOT 9
- the problem of the model.transform() HOT 4
- Problems encountered when using DCCA.fit
- Pass down parameters to BaseSearchCV in cca_zoo.model_selection.GridSearchCV
- the value of the model.fit_transform() is nan HOT 7
- Could you provide a 3-group CCA method? HOT 2
- What happened to the scale argument? HOT 19
- Cannot simulate data HOT 2
- TerminatedWorkerError when using GridSearchCV HOT 29
- Do you have a CCA method incorporated with Multivariate Granger causality? HOT 3
- cca_zoo.model_selection.GridSearchCV's param_grid parameter should accept any type of iterator HOT 3
- Implement CCA-classes that can account for sample groups HOT 2
- predict() method for models? HOT 6
- SPLS is slower than it used to be.
- Installation error HOT 14
- The algorithm failed to converge because the input matrix is ill-conditioned or has too many repeated eigenvalues (error code: 1). HOT 2
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