Epicas stands for Epidemiological Forecasting. Epicas is an AutoML framework based on TensorFlow and statsmodels.
For instructions or details about source code, please see at https://github.com/caominhduy/epicas
This package is still under development. Feel free to contact developer at caominhduy@gmail.com if any issue arises.
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Release files for epicas 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| epicas-0.1.0.tar.gz | 16.1 kB | Without provenance | Details for epicas-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| epicas-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for epicas-0.1.0-py3-none-any.whl |
Total release size: 40.1 kB
Release files / epicas-0.1.0.tar.gz
| Download URL | epicas-0.1.0.tar.gz |
|---|---|
| Size | 16.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.1
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Release files / epicas-0.1.0-py3-none-any.whl
| Download URL | epicas-0.1.0-py3-none-any.whl |
|---|---|
| Size | 24.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.1
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Security for epicas 0.1.0
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