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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