Instance Selection - Semi-Supervised Learning

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Instance selection methods for semi-supervised learning.

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Project Description • Download and Installation • Dependencies • Support

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Description

This project has an implementation of common algorithms in the literature, both instance selection algorithms and semi-supervised learning algorithms.

Among the objectives of the project is that the implemented algorithms are correct and complete with their respective original papers in which they were presented.

Likewise, there are multiple experiment configuration files for the aforementioned verification, and for the realization of a research process on the behavior of semi-supervised learning algorithms when noise filtering is performed.

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Available for MLaaS

All the algorithms that make up this library are available in UBUMLaaS, an Open Source MLaaS tool.

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Download and installation

IS-SSL is distributed under two libraries, both are available in their last versions in PIP.

• Instance Selection Algorithms. PIP.

bash
pip install InstanceSelectionDNX</code></pre>
Semi-Supervised Algorithms. PIP.
bash
pip install SemiSupervisedLearningDNX</code></pre>
Being a Python project, it is easily importable from within the  repo and its releases.

Dependencies
This software uses the following open source packages:
NumPy
Pandas
Scikit-Learn
Scipy


Support


GitHub @dpr1005  · 
Twitter @callmednx  · 
LinkedIn Daniel Puente Ramírez