sramirez/spark-infotheoretic-feature-selection
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.
ScalaApache-2.0
Issues
- 1
Issues related to code execution
#21 opened by X-j-s - 0
Is there any way to associate boxes with keypoints following the COCO keypoint detection format
#19 opened by XiaopinWang - 0
Spark 3 / Scala 2.12 release
#17 opened by MrPowers - 2
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All criterion same ranking
#6 opened by jabenitez - 1
- 5
error for type does not take parameters
#3 opened by VanessaD - 2
Publish on Spark Packages Main Repository
#1 opened by brkyvz - 7
Failing to build on sbt
#2 opened by saifellafi