Comments (3)
Hi!
This issue can occur when there is missing data. Easiest way to both check and address this would be to use the ZScoreSustainMissingData
variant that was recently merged/released.
Would you be able to try using that instead and see if that fixes it?
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As well as whether you have any missing values in your dataset, it would also be useful to know the range of the data for each biomarker and the values of Z_max you used. This error can also occur if there are values in your data that are much larger than Z_max.
from pysustain.
Thank you @ayoung11, my problem was exactly related to data ranges.
One of my columns in my data variable [eg. one input feature] had very high ranges compared to others. After normalizing this column, I was able to successfully run the model.
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Related Issues (20)
- TypeError: 'int' object is not iterable in ZscoreSustain HOT 8
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- Fixing controls in GMM HOT 2
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- Fix for "rare" divide by zero problem HOT 6
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- IndexError while running the SuStaIn Workshop file HOT 2
- Data Preparation Pipeline/Code HOT 5
- How to interpret the Positional Variance Diagram HOT 1
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- Parallel CV doesn't work (aka "Why do all my CV jobs run for fold 0 only???") HOT 1
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- Mislabelled subtype numbers in PVDs HOT 9
- Parallelization fails -- TypeError: cannot pickle '_abc._abc_data' object HOT 4
- Allow for complete model reloading HOT 2
- minor installation issue with sklearn HOT 1
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