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ITMO_FS

Feature selection library in Python

Package information: Python 2.7 Python 3.6 License Docs CodeCov

Install with

pip install ITMO_FS

Current available algorithms:

Filters

Wrappers

Hybrid

Embedded

Ensembles

Spearman correlation

Add Del

Filter Wrapper

MOSNS

MeLiF

Pearson correlation

Backward selection

MOSS

Best goes first

Fit Criterion

Sequential Forward Selection

RFE

Best sum

F ratio

QPFS

Gini index

Hill climbing

Information Gain

Minimum Redundancy Maximum Relevance

VDM

QPFS

MIMAGA

Documentation:

https://itmo-fs.readthedocs.io/en/latest/

Metadata

Release files for ITMO-FS 0.3.3

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Source distribution for ITMO-FS 0.3.3
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Built distribution (wheel)

Table of built distributions (wheels) for ITMO-FS 0.3.3
File Interpreter ABI Platform Actions
ITMO_FS-0.3.3-py3-none-any.whl Python 3 none any Details for ITMO_FS-0.3.3-py3-none-any.whl

Total release size: 116.1 kB

Release files / ITMO_FS-0.3.3.tar.gz

Download URL ITMO_FS-0.3.3.tar.gz
Size 45.5 kB
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Release files / ITMO_FS-0.3.3-py3-none-any.whl

Download URL ITMO_FS-0.3.3-py3-none-any.whl
Size 70.7 kB
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Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1.post20200802 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.8

Security for ITMO-FS 0.3.3

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