Comments (1)
jameschapman19
commented on May 30, 2024
1
This has been done in the latest documentation on the main branch. I'm waiting till I've completed all of these before updating the version.
Really nice change thanks to the reviewers for the suggestion. Didn't realise sphinx-gallery could be done in notebook style!
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Related Issues (20)
- Getting 'IndexError: too many indices for tensor' while attempting to run DCCA HOT 7
- cca_zoo.models.GRCCA.fit's keyword-argument group should default to single-feature groups HOT 2
- cca_zoo.models.GRCCA.fit(groups) does not work together with cca_zoo.model_selection.GridSearchCV.fit(groups) HOT 8
- cca_zoo.model_selection.GridSearchCV does not work when estimator has more than one latent dimension and scorer function is not provided HOT 1
- How to install the deep learning component? HOT 11
- GRCCA: Checking on feature groups fails for feature groups with np.int8 HOT 2
- question about MCCA HOT 3
- torch error while trainning DCCA and DCCAE HOT 2
- Why we have to conduct linear cca before we count the score of projected embedding? HOT 6
- Documentation of penalty parameter ranges? HOT 1
- why the performance of CCA and MCCA is different when I use them to project two views? HOT 9
- 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
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