kerasAC
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| 2.5.4 | kerasAC-2.5.4-py3-none-any.whl |
Wheel Details
| Project: | kerasAC |
| Version: | 2.5.4 |
| Filename: | kerasAC-2.5.4-py3-none-any.whl |
| Download: | [link] |
| Size: | 106739 |
| MD5: | 13c19506f1cc7b42285b388d5e04f8ef |
| SHA256: | 1714814403a10c4d20a95f0c5256e87aa15b65ec168d534b9d39b89540eee9da |
| Uploaded: | 2020-12-22 04:38:57 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | bdist_wheel (0.35.1) |
| Root-Is-Purelib: | true |
| Tag: | py3-none-any |
RECORD
| Path | Digest | Size |
|---|---|---|
| kerasAC/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
| kerasAC/__main__.py | sha256=TFGkorsTY2TquhZIobqJduRJ9fWGzMrNLO7YRB2iawg | 4567 |
| kerasAC/abstention.py | sha256=2a8w7LY-SRumt4nTgfE6X746rSro6v4rlooW10RlGJE | 14120 |
| kerasAC/accuracy_metrics.py | sha256=xz6N-sCPzIjCC895zDwMAsikMsdbeQ_S-YzfmKgGUOg | 7960 |
| kerasAC/activations.py | sha256=BrDjNVk5rOrgwAnC6RuFDnpgnkcg9c-IL9XJElmzIEU | 88 |
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| kerasAC/basset_architecture_single_task.py | sha256=gW7wMi0Gyu6AiWruKVxeqY-_NR9DGGnRCts18vQQ3Kc | 4058 |
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| kerasAC/gradient_input.py | sha256=IKHvHiJPadUZ22QzAXOOuYfJ2Numaiwi_d8ADOpOc14 | 1971 |
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| kerasAC/metrics.py | sha256=v6mHhImE9-IGNqxPhzJz1h5krkrLLRVnZghqPVsgthI | 2145 |
| kerasAC/performance_metrics.py | sha256=s7jyhQ4wGWwGGYsniZtNnJROC9ZoSNzq7wswqvMdLuE | 11927 |
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| kerasAC/predict_tiledb.py | sha256=FrCppLIQWr02rGE4Po96ii4lxqhXc6IjO4Fb0AwMUf8 | 17961 |
| kerasAC/profile_performance_metrics.py | sha256=1rVt3hi57E4Lfn7LtkunOXKeiWL6XjVYt3us__Z-sW8 | 1610 |
| kerasAC/runModelPureKeras.py | sha256=TFGkorsTY2TquhZIobqJduRJ9fWGzMrNLO7YRB2iawg | 4567 |
| kerasAC/s3_sync.py | sha256=42N27644segYTp2wEHaZJrUN474F7AJBhJPUgtNzVCo | 1715 |
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| kerasAC/tiledb_config.py | sha256=W3H4wlRvKXLsNDztE4TdVT1lq9oRqRtjVGAbQEAqAeM | 783 |
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| kerasAC/tiledb_predict.py | sha256=dTVUowyMvuemL39KMOPrHkbfAqUIv56CjY_P_SrD1QU | 7758 |
| kerasAC/train.py | sha256=KwfdmbaRuL1i0nYPQ2KiiYT3Lmh_mHeczXEOpc3cFoA | 26164 |
| kerasAC/unit_test_var_seqs.py | sha256=uMIk6QD0kvKe44GNirWIy2wDIHYbkNuuG60wUWxxt2I | 1312 |
| kerasAC/util.py | sha256=YxGCR5c_QKS12UTx3de5jH_ZVHKE_0V8r-5IsdwGfZM | 6813 |
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| kerasAC/architectures/battnet.py | sha256=6P0EbOsKP7BmsVLR3p_wzHU9C_5ru3owYbw2DahuWsI | 2347 |
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| kerasAC/architectures/functional_basset_singletask.py | sha256=VHvTt5bdLh5oqpr4JwEq9eA86S3v_t98b1xr7-vt1GM | 4086 |
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| kerasAC/architectures/functional_regression.py | sha256=1QknhiS-IMqCshbTFqA4P979o8gzM6dE9-W3fEhfVjc | 3252 |
| kerasAC/architectures/model_test.py | sha256=hC-lJ-NtwwIRu2ArkuKYcCjo0KD0fYNIINs6NIo4QBM | 742 |
| kerasAC/architectures/profile_model.py | sha256=2wGcYVWFFh286FV9BrluF0-YO4eb7BJsY-kqNdKm5Bk | 3203 |
| kerasAC/architectures/regression.py | sha256=RmdI8n4a9F5Ozn9BfF6z2CaBnrUskKOXCSItq7d9dx4 | 4002 |
| kerasAC/architectures/resnet.py | sha256=LTnup8iABZlDwahYSLMYz0nt9ODGBftRhwpdflAQMJM | 4323 |
| kerasAC/architectures/resnet_simple.py | sha256=P8F6BDZHP6q-3Qse6VCG7j3pErwTmbJ28ZAytODY-OY | 2229 |
| kerasAC/architectures/resnet_simple_full_preactivation.py | sha256=hjW7waCpYkCt8H5qLjIiA2EhxoP5fEMzeU7QlaYKu0g | 2265 |
| kerasAC/architectures/tf_chipseq_classification.py | sha256=pYIbBuZyaTaSRk-F4jEm2Udd9u8EczKy_-9HDw-TXPg | 2154 |
| kerasAC/architectures/tf_chipseq_regression.py | sha256=h1OsHZ16wEgZNiketdkuwDoxDct_CB4jHzwpM0HMIdw | 2009 |
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| kerasAC/architectures/__pycache__/resnet_simple_reversed.cpython-36.pyc | sha256=xXDs3UFpLIb4VefLV8mvnN8kWKY9FpFUWfjbD2Vk0wo | 2460 |
| kerasAC/tmp/load_model.py | sha256=9g1HNYNBB-fmJHHzThNX6VoUMahIIFd6hPKSfFy5NqU | 748 |
| kerasAC-2.5.4.dist-info/LICENSE | sha256=7ue01VvmGWMM6RAkQQSF0lImw4fnIxW4NxKo2_iRiO8 | 1068 |
| kerasAC-2.5.4.dist-info/METADATA | sha256=hDM3u9dsyASiXKAJHgyhv7Tn0xdYpFCsbHnD8IFQmNM | 582 |
| kerasAC-2.5.4.dist-info/WHEEL | sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo | 92 |
| kerasAC-2.5.4.dist-info/entry_points.txt | sha256=kLYavAUxo-NW_69pc3jez9lcYmACslVjzNy7iZQxw1Y | 934 |
| kerasAC-2.5.4.dist-info/top_level.txt | sha256=Kt1L6t3rmbP_rB-6QfPOFL9_wyvRnGYl9wX-m1Mn99s | 8 |
| kerasAC-2.5.4.dist-info/RECORD | — | — |
top_level.txt
kerasAC
entry_points.txt
kerasAC_aggregate_summaries = kerasAC.helpers.aggregate_summaries:main
kerasAC_bigwigs_from_io = kerasAC.helpers.generate_bigwigs_from_bpnet_io:main
kerasAC_bpnet_shap_wrapper = kerasAC.interpret.bpnet_shap_wrapper:main
kerasAC_calibrate = kerasAC.calibrate:main
kerasAC_cross_validate = kerasAC.cross_validate:main
kerasAC_curves = kerasAC.curves:main
kerasAC_interpret = kerasAC.interpret:main
kerasAC_loss_weights_bpnet = kerasAC.helpers.get_loss_weights_for_bpnet:main
kerasAC_plot_interpretation = kerasAC.plot_interpretation:main
kerasAC_predict_hdf5 = kerasAC.predict_hdf5:main
kerasAC_predict_tdb = kerasAC.predict_tiledb:main
kerasAC_score = kerasAC.performance_metrics.performance_metrics:main
kerasAC_score_bpnet = kerasAC.performance_metrics.bpnet_performance_metrics:main
kerasAC_score_bpnet_legacy = kerasAC.performance_metrics.bpnet_performance_metrics_legacy:main
kerasAC_train = kerasAC.train:main