Metadata-Version: 1.2
Name: Basicensemblelearningargumentation
Version: 0.0.1
Summary: A basic argumentation process where the outcomes from different models can argue for generating a final output.
Home-page: UNKNOWN
Author: Istiak Ahmed
Author-email: istiak.uiu.bd@gmail.com
License: MIT
Project-URL: Code, https://github.com/Istiak1992/BasicEnsembleArgumentation/
Description: <h1>BasicEnsembleArgumentation</h1>
        
        <p>The BasicEnsembleArgumentation library provides methods to generate reliable results. A data set is classified by several models (classifiers). Different models produce different outputs and the produced outputs are combined by an argumentation approach. The argumentation approach produces a final output through a decision making process. The whole process follows an ensemble architecture. </p>  
        <h1>User Manual</h1>
        
        <p>Install Basicenssembleargumentation: </p>
        
        <code>pip install Basicenssembleargumentation</code>
        
        <p>Import the library: </p>
        
        <code>from EnsArg import argumentation</code>
        
        <p>Import necessary pacakages: </p>
        
        Change Log
        ============
        
        0.0.1 (24/05/2020)
        -------------------
        - First Release
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Education
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
