Comments (3)
jameschapman19
commented on May 30, 2024
1
Satisfied with this too. Tests still take a little while but I think they are now minimal and important (in the sense of checking crucial things ran) whereas before they were neither minimal nor all important
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jameschapman19
commented on May 30, 2024
1
Yep - I'll check out what's going on with #122 and ping the issue - thanks :)
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emdupre
commented on May 30, 2024
This is great, thank you @jameschapman19 ! Would you say that with closing this you've addressed all of the reviewer feedback ? I see that #122 is open and currently failing tests, so I'm not sure if you were planning to work on that first.
Please just ping into the JOSS issue whenever you're ready, and I'll make sure that this gets to the reviewers !
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Related Issues (20)
- 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
- Is the loss function calculated on the raw data? HOT 22
- Is averaged pairwise correlation the first principle to construct MCCA indices? HOT 6
- Unnecessary overhead when calculating CCALoss HOT 5
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