Python Feature Selection library from ITMO University.
Project description
ITMO_FS
Feature selection library in Python
Package information:
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:
Project details
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ITMO_FS-0.3.2.tar.gz
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