DIAMOND: A Flexible Distributed Machine Learning Library for Novel Learning Algorithms and Models
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1 maintainer
Release files for ml-diamond 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml-diamond-0.1.1.tar.gz | 4.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_diamond-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.8 kB
Release files / ml-diamond-0.1.1.tar.gz
| Download URL | ml-diamond-0.1.1.tar.gz |
|---|---|
| Size | 4.1 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 |
0b755a3238ca3aec6b9ffc78ddaf5313d8710a9e9280cab5ea855f5eb7cf38ee
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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/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Release files / ml_diamond-0.1.1-py3-none-any.whl
| Download URL | ml_diamond-0.1.1-py3-none-any.whl |
|---|---|
| Size | 20.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c7236a99770fb5b7d10b7a596e80205167490481f904ceefb8c2f4b0f19188f8
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BLAKE2b-256 checksum How to use checksums |
0614bedc45cc415da2b85c257e0759bc179e3b8c8734563383dc904633591183
|
| 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/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
