Comments (7)
The issue is now fixed for conda/pip installations as well (version 1.3.1).
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Hello,
I would like to try SpliceAI but I have the same error.
I don't understand how to do the fix you have indicated. Do we have to modify one of the python script? Or the easiestway is still to downgrad Pandas?
Thanks for the help,
Regards
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@austensutherland I believe replacing .get_values() with .to_numpy() at 7 different instances in utils.py (https://github.com/Illumina/SpliceAI/blob/master/spliceai/utils.py) should resolve this issue.
Also, the dependency on pandas needs to be upgraded from 'pandas>=0.23.0' to 'pandas>=0.24.2' if I am not mistaken.
I am curious to learn your inputs regarding the same!
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Thank you @SandeepAswathnarayana for making the changes, I have merged the pull request and tested it.
@austensutherland, @Ptero64: If you clone the repo now, you should no longer run into this issue. Feel free to reopen the issue if you run into additional issues.
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@kishorejaganathan Thanks for fixing this issue in the repo. Would it be possible to deploy this fix to the bioconda recipe for spliceAI too?
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Yes, will take care of it shortly.
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That was quick. Appreciate it!
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Related Issues (20)
- Lower Accuracy Than Introme HOT 1
- Training with additional Batch Normalization layer producing strange results HOT 1
- Trouble to launch SpliceAI with grch37 HOT 5
- spliceAI not giving output value while running using vep (Variant Ensemble Predictor) HOT 3
- Position of splice sites within an insertion HOT 1
- Training input shape HOT 1
- Question about using snv and indel score files
- variant not scored HOT 5
- Running SpliceAI takes too much time
- Duplicate records in the released VCF file HOT 3
- Unable to install using conda install HOT 1
- Running Short Tandem Repeat genotypes
- build-in grch38 annotation
- How to make a custom annotation set? HOT 2
- No training configuration found in the save file, so the model was *not* compiled. Compile it manually. HOT 3
- spliceai score HOT 3
- Query about spliceai to calculate Delins HOT 1
- WARNING:root:Skipping record (ref too long)
- Way to many TEMP files
- Figure 1c Reproduction HOT 2
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