Comments (3)
The models were trained with Tensorflow as the backend, so the software should be used with Tensorflow as the backend and not Theano. Once you make the switch, try using the examples/input.vcf file as input and see if you can produce the examples/output.vcf file. Additionally, you can also run
python setup.py test
and make sure all tests pass.
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That's correct, thanks for the feedback -- It's worth noting that I had the issue on a computer that had both Theano and Tensorflow installed: both pip and github installers picked Theano as default. Weird, pip did not give any warning. Github install gave errors only when doing python setup.py test
, but not during the initial setup.
Afterward, I tried on another environment and pip chose Tensorflow. Then it worked.
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Glad to hear that the issue is resolved. This link https://keras.io/backend/ has information on setting the backend when multiple options are available.
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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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