Comments (3)
jameschapman19
commented on May 29, 2024
Changed in the latest version. Architectures can now be passed where their init requires an input and output size and additional kwargs can be passed via Config(). Note to self: in documentation will need to show this in detail.
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jameschapman19
commented on May 29, 2024
Have removed the config hack and now we pass model architectures directly to the bigger DCCA models. Model architectures can be built using a base architecture class to ensure they have the required methods
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jameschapman19
commented on May 29, 2024
With the latest test using a pretrained Unet I am satisfied that this is solved to completion.
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Related Issues (20)
- 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
- 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.
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