Mutual Information functions in Scala
-
Updated
Apr 25, 2021 - Scala
Mutual Information functions in Scala
semi-supervised feature selection algorithm for Spark
Iterative filter-based feature selection on large datasets with Apache Spark
Harmonizing clinical and genetic data to enhance the precision and efficiency of glioma diagnosis.
Image feature selection performed with Apache Spark
Distributed version of RELIEF-F algorithm for Apache Spark.
My MSc on Data Science final project. This is a library for Data Pre-processing Algorithms for Streaming in Flink (DPASF)
Distributed Rough Set Theory for 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.
Add a description, image, and links to the feature-selection topic page so that developers can more easily learn about it.
To associate your repository with the feature-selection topic, visit your repo's landing page and select "manage topics."