ML Belt
The machine learning and data science utility belt.
Read the docs: https://ml-belt.readthedocs.io
We recommend that you have Anaconda installed: https://anaconda.org/
Instalation
You can install using pip:
pip install ml_belt
1 maintainer
Release files for ml-belt 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 | |
|---|---|---|---|
| ml_belt-0.1.4.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_belt-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.8 kB
Release files / ml_belt-0.1.4.tar.gz
| Download URL | ml_belt-0.1.4.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9f74ed006e8c65e6b22271d9dca79df7cf55a6a88bf0a9162a0abd4aade8d7d6
|
|
BLAKE2b-256 checksum How to use checksums |
3b8fe4fe61be4b9ab120d03ba26d6c1079d83ebf7cf289133ed0e4ac275dbb79
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.6.4
|
Release files / ml_belt-0.1.4-py3-none-any.whl
| Download URL | ml_belt-0.1.4-py3-none-any.whl |
|---|---|
| Size | 5.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1bf362a825f22773fdfecfd539cdddaf4270e95d4892c92ee531a7e9966a75b9
|
|
BLAKE2b-256 checksum How to use checksums |
43b8acb177121becc44af5ebc86055f986b88aac46172da0137cdbe05ba55077
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.25.0 CPython/3.6.4
|
