Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Enssembleargumentationbasic0.0.1-0.0.1.tar.gz (4.6 kB view details)

Uploaded Source

File details

Details for the file Enssembleargumentationbasic0.0.1-0.0.1.tar.gz.

File metadata

  • Download URL: Enssembleargumentationbasic0.0.1-0.0.1.tar.gz
  • Upload date:
  • Size: 4.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.0

File hashes

Hashes for Enssembleargumentationbasic0.0.1-0.0.1.tar.gz
Algorithm Hash digest
SHA256 f65e8d929ec8e77684082280b8b2423f7d72f605549b7cd733412e3efe2f41ea
MD5 f6ad902d0f153ae1a1982aea6e1211c3
BLAKE2b-256 44291299a70558c3cc0a4fe3cb18d4088f655434166e7052430bed51e03e97a7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page