Semisupervised-learning-and-instance-selection-methods

TFG - Semisupervised learning and instance selection methods

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Instance Selection - Semi-Supervised Learning

Instance selection methods for semi-supervised learning.

Project Description • Download and Installation • Dependencies • Support

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.

Available for MLaaS

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

Download and installation

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

Instance Selection Algorithms. PIP.

pip install InstanceSelectionDNX

Semi-Supervised Algorithms. PIP.
```
pip install SemiSupervisedLearningDNX
```

Being a Python project, it is easily importable from within the repo and its releases.

Dependencies

This software uses the following open source packages:

Support

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