Comments (3)
just noting I've seen this! Will aim to take a look as this is fairly important thanks for the code snip!
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Cool so immediate fix is change line
param_grid = {'c': [c1,c2]}
to
param_grid = {'c': [list(c1), list(c2)]}
Just a quirk of how I've set it up to process parameters at the moment.
I'm leaving this as an issue as a) there's no particular reason why numpy arrays are a bad idea and perhaps more importantly b) the error message is unhelpful in this instance. That bit leans on scikit code so might have to think about that.
Interestingly I just learnt that verbosity can be a number as well as a bool which would have been marginally more helpful in this instance (say verbosity=10) as it would show that it was trying to fit a model with c=[0,0.1,0.2 ...]. Also useful cos the gridsearch takes some time and gives more progress updates.
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noticed it's under hcp_project directory so I'm curious how it goes! Oddly enough this whole thing started out of me trying to replicate someone in my groups work on HCP using MATLAB.
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Related Issues (20)
- 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
- SCCA_PMD Inner Loop Convergence Warning in cca_zoo
- SVD Not Converging HOT 2
- torch._C._LinAlgError: torch.linalg.solve: The solver failed because the input matrix is singular. HOT 6
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