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.
☆134Updated 2 years ago
Alternatives and similar repositories for spark-infotheoretic-feature-selection:
Users that are interested in spark-infotheoretic-feature-selection are comparing it to the libraries listed below
- Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)☆44Updated 2 years ago
- Featureselection methods as Spark MLlib Pipelines☆30Updated 6 years ago
- A curated inventory of machine learning methods available on the Apache Spark platform, both in official and third party libraries.☆65Updated 7 years ago
- k-Nearest Neighbors algorithm on Spark☆239Updated last year
- PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)☆94Updated 2 years ago
- An implementation of DBSCAN runing on top of Apache Spark☆183Updated 7 years ago
- Spark-based GBM☆56Updated 5 years ago
- Machine learning enhancements to Spark MlLib☆20Updated 9 years ago
- Approximate Nearest Neighbors in Spark☆174Updated 3 years ago
- SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.☆152Updated 4 years ago
- Locality Sensitive Hashing for Apache Spark☆195Updated 8 years ago
- Java library and command-line application for converting Apache Spark ML pipelines to PMML☆268Updated this week
- Spark 2.0 Scala Machine Learning examples☆77Updated 5 years ago
- The Synthetic Minority Oversampling Technique (SMOTE) implemented in Spark.☆49Updated 6 years ago
- Spark-based approximate nearest neighbor search using locality-sensitive hashing☆104Updated 8 years ago
- Glint: High performance scala parameter server☆168Updated 6 years ago
- The Nak Machine Learning Library☆341Updated 7 years ago
- Locality Sensitive Hashing for Apache Spark☆87Updated 3 years ago
- Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logi…☆170Updated 6 years ago
- Building Annoy Index on Apache Spark☆72Updated 4 years ago
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆229Updated 8 years ago
- Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems☆106Updated 8 years ago
- Factorization Machines on Spark and Glint☆25Updated 8 years ago
- A library for exporting Spark ML models and pipelines to PFA☆54Updated 6 years ago
- An implementation of Markov Clustering algorithm for Spark in Scala☆34Updated 7 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Visualize streaming machine learning in Spark☆176Updated 7 years ago
- Self-written notes that may be useful☆107Updated 9 years ago
- DBSCAN clustering algorithm on top of Apache Spark☆258Updated 6 years ago
- Spark ML Lib serving library☆48Updated 6 years ago