A basic argumentation process where the outcomes from different models can argue for generating a final output.
Project 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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for Enssembleargumentationbasic-0.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 87eeb3c11538ff9c634d85224328df97d5d67d793e21d8a594d4a922ec1c74ad |
|
MD5 | 656b4ec87c6cfb99566d1106f9cfa357 |
|
BLAKE2b-256 | d081d48cb57e8ed602b0df3181d662323ce619c0edd0615d174464e9f4ef987d |