Contains packages for creating sequence data (generators), working with Excel and JSON files (util) and evolutionary discovery of architecture and hyperparameters (hyperparameter). It is designed to work with Tensorflow 2.0 and can take advantage of multiple processors
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Release files for optevolver 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| optevolver-0.1.4.tar.gz | 36.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| optevolver-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.6 kB
Release files / optevolver-0.1.4.tar.gz
| Download URL | optevolver-0.1.4.tar.gz |
|---|---|
| Size | 36.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
91fff56434b0989c3bf0b96a2bd801c36e2345f4a7c286dfea6f7957517fa09e
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.4
|
Release files / optevolver-0.1.4-py3-none-any.whl
| Download URL | optevolver-0.1.4-py3-none-any.whl |
|---|---|
| Size | 35.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
48b802cb71973b7056290bee972f03b536d46641bec2dcceca2cf99893346a51
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BLAKE2b-256 checksum How to use checksums |
6c616e329c2ac0119f5c778ec03718e9d178e8e208d34f622e245547cdf78cf9
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.4
|
