Machine Learning Algorithms
Machine Learning Algorithms
Free software: BSD license
Documentation: https://MLStudio.readthedocs.io.
Features
TODO
Credits
BlackBox
0.1.0 (2020-03-15) 0.1.1 (2020-04-01) 0.1.2 (2020-06-10) ——————
Non-convex optimization
1 maintainer
Metadata
1 maintainer
Release files for MLStudio 0.1.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| MLStudio-0.1.15.tar.gz | 335.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MLStudio-0.1.15-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 606.9 kB
Release files / MLStudio-0.1.15.tar.gz
| Download URL | MLStudio-0.1.15.tar.gz |
|---|---|
| Size | 335.3 kB |
| Tags | Source |
|
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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
|
Release files / MLStudio-0.1.15-py2.py3-none-any.whl
| Download URL | MLStudio-0.1.15-py2.py3-none-any.whl |
|---|---|
| Size | 271.5 kB |
| Tags | Python 2 Python 3 |
|
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/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3
|
Security for MLStudio 0.1.15
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