Documentation
v0.2.0
make –reference_path not a required input in extract and call_mods module
handle gz file in call_freq script
v0.1.10
make sure results of each read be written together in call_mods’ output
v0.1.9
enable multi-class (>=3) training/predicting,
fix bug of extrating contig name from fast5s
v0.1.8
modify denoise module fix success_file bug update README
v0.1.7
Prevent Queue.qsize() from raising NotImplementedError on Mac OS X (github: vterron/lemon@9ca6b4b) covert raw signals to pA values before normalization in extract_feature module add denoise module add module-chosen options of model (rnn/base/cnn), re-train human model
v0.1.6
add option –positions in extract_features module, add option/function of binary_format feature file to speed up training
v0.1.5
normalize probs before output
v0.1.4
change the loss function to weighted_cross_entropy_with_logits, allow training using unbalanced samples.
v0.1.3
fix the deadlock issue in multiprocessing
v0.1.2
add MANIFEST.in file
v0.1.1
3 modules (extract, call_mods, train) supported
1 maintainer
Release files for deepsignal 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| deepsignal-0.2.0.tar.gz | 46.4 kB | Details |
Release files / deepsignal-0.2.0.tar.gz
| Download URL | deepsignal-0.2.0.tar.gz |
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| Size | 46.4 kB |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/38.4.0 requests-toolbelt/0.9.1 tqdm/4.34.0 CPython/3.5.1
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