<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
1 maintainer
Release files for Basicensemblelearningargumentation 0.0.1
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