This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
Scala versions:
2.12
spark-infotheoretic-feature-selection 0.1.0
Group ID:
com.swoop
Artifact ID:
spark-infotheoretic-feature-selection_2.12
Version:
0.1.0
Release Date:
May 9, 2022
Licenses:
Files:
Full Scala Version:
2.12.12
Developers:
libraryDependencies += "com.swoop" %% "spark-infotheoretic-feature-selection" % "0.1.0"
ivy"com.swoop::spark-infotheoretic-feature-selection:0.1.0"
//> using dep "com.swoop::spark-infotheoretic-feature-selection:0.1.0"
import $ivy.`com.swoop::spark-infotheoretic-feature-selection:0.1.0`
<dependency> <groupId>com.swoop</groupId> <artifactId>spark-infotheoretic-feature-selection_2.12</artifactId> <version>0.1.0</version> </dependency>
compile group: 'com.swoop', name: 'spark-infotheoretic-feature-selection_2.12', version: '0.1.0'
Documentation
5 Dependencies
-
2.12.12
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org.apache.spark::spark-mllib provided3.0.1
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joda-time:joda-time test2.10.5
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junit:junit test4.12
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3.0.8