Metadata-Version: 2.1
Name: ml-tuning
Version: 0.0.1
Summary: Tuning some machine learning function parameters
Home-page: https://github.com/Eajay/ml_tuning
Author: Yijiang Zheng
Author-email: yijiang_zheng@outlook.com
License: MIT
Download-URL: https://github.com/Eajay/ml_tuning.git
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# 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

~~~~~~~~~~~~~~~~~







