Tuning some machine learning function parameters
Project description
ml_tuning
ml_tuning is a python module to tune some machine learning functions parameters
Installation
Dependencies
scikit-learn requires:
- Python (>= 3.6)
- NumPy (>= 1.13.3)
**ml_tuning is 0.0.1 is the latest version, right now only support kNN algorithm.
User installation
pip install ml_tuning
Source Code
You can download the code from
https://github.com/Eajay/ml_tuning.git
Testing Case
After installation, if you want to try test cases, make sure install sklearn first for input training data.
How to use it
from ml_tuning import kNN_tuning
knn = kNN_tuning.kNN_tuning
Project details
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
ml_tuning-0.0.1.tar.gz
(4.3 kB
view hashes)
Built Distribution
Close
Hashes for ml_tuning-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0b2a1cd10412e98ace52ec2db19893d7365cf012e3670546d0614d1a53b917ad |
|
MD5 | 1b3f7e40b1c1b373b735b0f30da29c6e |
|
BLAKE2b-256 | faff0f3baa38643468338bd8767ff14cef0b4cbd6ad9e453b624e5f17f357b74 |