Metadata-Version: 2.1
Name: thresher-py
Version: 0.1.0
Summary: Find threshold for fine-tuning output from predict_proba
Home-page: https://github.com/oskar-j/thresher
Author: Oskar Jarczyk
Author-email: oskar.jarczyk@gmail.com
Maintainer: Oskar Jarczyk
Maintainer-email: oskar.jarczyk@gmail.com
License: MIT
Download-URL: https://github.com/oskar-j/thresher/archive/v_01_0.tar.gz
Description: # Thresher - THRESHold EvaluatoR
        
        ## Project description
        
        ## How to setup?
        
        The process is rather straightforward, you just need to just whether to install 
        from the sources (latest revision), or from the PyPI repository (stable release).
        
        ### Requirements
        
        Tested with Python `3.7+`, on a standard Unix environment
        
        ### Installation
        
        Installation from source:
        
        ```
        pip install git+https://github.com/oskar-j/thresher.git
        ```
        
        Stable release using the `pip` tool:
        
        ```
        pip install thresher
        ```
        
        ## Sample usage
        
        ```python
        import thresher
        
        t = thresher.Thresher()
        
        print('Currently supported algorithms:')
        print(t.get_supported_algorithms())
        
        cases = [0.1, 0.3, 0.4, 0.7]
        actual_labels = [-1, -1, 1, 1]
        
        print(f'Optimization result: {t.optimize_threshold(cases, actual_labels)}')
        ```
        
        ## Future work
        
        * adding more algorithms
        * publishing on conda
        * more heavy test loads
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
