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IS_RELEASE.md

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# Instance Selection Methods
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=============
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This project has the following algorithms:
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- ENN
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- The most pure Wilson Editing,
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- and a modified version to work with self-training in case there are some
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instances that the author do not want them removed.
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- CNN
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- RNN
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- MSS
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- ICF
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Release Notes
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=============
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See the commit logs at https://github.com/dpr1005/Semisupervised-learning-and-instance-selection-methods.

SSL_RELEASE.md

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# Semi-Supervised Algorithms
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=============
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This project has the following algorithms:
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- Co-Training
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- Tri-Training
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- Democratic Co-Learning
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Release Notes
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=============
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See the commit logs at https://github.com/dpr1005/Semisupervised-learning-and-instance-selection-methods.

instance_selection/__init__.py

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# @Filename: __init__.py.py
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# @Author: Daniel Puente Ramírez
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# @Time: 16/11/21 17:14
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"""
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Instance Selection.
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The package contains some of the most widely used instance selection algorithms
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in the literature.
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"""
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__version__ = "0.1.3"
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__author__ = 'Daniel Puente Ramírez'

pyproject.toml

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[build-system]
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requires = [
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"setuptools>=42",
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"wheel"
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]
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build-backend = "setuptools.build_meta"

semisupervised/__init__.py

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# @Filename: __init__.py.py
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# @Author: Daniel Puente Ramírez
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# @Time: 22/12/21 11:27
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"""
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Semi-Supervised.
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The package contains some of the most widely used semi-supervised algorithms in
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the literature.
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"""
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__version__ = "0.1.3"
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__author__ = 'Daniel Puente Ramírez'

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