Comments (3)
benfulcher
commented on May 30, 2024
Thanks mate. Yes, this was not properly implemented/tested by Oliver, but some parts remain remnant in the code base. Would be good to implement a function that trains on one (training) HCTSA file and tests the trained model on another (test) HCTSA file.
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fabiankro
commented on May 30, 2024
Hello,
I noticed that the recent version fixed the error with missing "foldLosses" but not the error with the missing variable 'whatLoss'. Is there another fix for that?
Kind regards
Fabian
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benfulcher
commented on May 30, 2024
Thanks!
The saving classifier functionality was never fully implemented by Oliver; I have added a warning about this being unsupported functionality, and a quick fix for the attempt to access the whatLoss variable.
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Related Issues (20)
- Warning: No available confusion matrix plotting functions HOT 1
- TS_GetIDs returns brace indexing error HOT 5
- Wrong_TS_Classify HOT 3
- will it work for multivariate time series HOT 1
- Error when running TS_LocalClearRemove HOT 1
- Multichannel EEG analysis HOT 1
- Consider a cloud CI service HOT 1
- nn_prepare.m as a function is not supported and a whole host of other errors HOT 8
- Not able to skip User input "y" in TS_Init HOT 3
- Init only with notLengthDependent features HOT 1
- calling hctsa from python with matlab engine HOT 2
- Typo in TS_Classify and errors running 'simpleNull' = false in ComputeCVAccuracies? HOT 1
- compile_mex error from range_search.cpp file HOT 1
- Error using compile_mex HOT 3
- Multichannel EEG signal analysis HOT 1
- TS_Cluster produces an 'Unknown distance metric: 'corr_fast''error HOT 2
- parallel operation HOT 2
- Duplicate Function Names
- TS_InitiateParallel passes incorrect information to BF_CheckToolBox HOT 3
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