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