Utilitaires ML légers : normalisation, split, encodage
Project description
mltools
Utilitaires ML légers : normalisation, train/test split, encodage one-hot.
Installation
pip install mltool_gueye
Utilisation
import numpy as np
from mltools import normalize, train_test_split
X = np.array([[1, 2], [3, 4], [5, 6]])
X_norm = normalize(X)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mltools_gueye-0.1.0.tar.gz
(27.7 MB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mltools_gueye-0.1.0.tar.gz.
File metadata
- Download URL: mltools_gueye-0.1.0.tar.gz
- Upload date:
- Size: 27.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fcb5be030bc577ae156444dc8575f819edc0cb95062b8954e035b58ccafee77f
|
|
| MD5 |
1ba1d12800e335502f0e3d4246ff85ef
|
|
| BLAKE2b-256 |
4952979d7d747dfb429766748a0d3daacea6b98aaf1fab23b660356022c44a06
|
File details
Details for the file mltools_gueye-0.1.0-py3-none-any.whl.
File metadata
- Download URL: mltools_gueye-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5a318c82dc846546a608951bde28feafb11f95fba4c7e4932ccd713a40263123
|
|
| MD5 |
3408f0b3edaee93f57cd9a429a34bb4a
|
|
| BLAKE2b-256 |
0c528580cdc6dbb2a48733e716b286db989cb00a1963e63b5ca373ca3e865fe8
|
