A Machine Learning Multi-Tool (mlmt)
A collection of loosely organized code to assist machine learning research.
mlmt @ GitHub, PyPi and ReadTheDocs.
Installation
pip install --upgrade mlmt
Usage
import mlmt
Developer's Guide
See project wiki.
Metadata
Release files for mlmt 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlmt-0.0.5.tar.gz | 5.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlmt-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.9 kB
Release files / mlmt-0.0.5.tar.gz
| Download URL | mlmt-0.0.5.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
03e06ffdb17bf80d7e706096a965c7fb68d62a51cb0e16756ecadc9141093757
|
|
BLAKE2b-256 checksum How to use checksums |
4a7a15086f45f3e26fc016553608d1eb56cb84db86536b63c37cd0ff9e1bf974
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.11 CPython/3.8.12 Darwin/19.6.0
|
Release files / mlmt-0.0.5-py3-none-any.whl
| Download URL | mlmt-0.0.5-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f8bc7212511486972bf901b7ad712975f4d9e5be3455c554b1939d7c4528a76d
|
|
BLAKE2b-256 checksum How to use checksums |
a8eb517bbcc816c8e78187b88453630e54638601ea1ed8c4898a7b440330469d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.11 CPython/3.8.12 Darwin/19.6.0
|