CodingCat / xgboost4j-spark-scalability
a benchmark to test scalability of xgboost4j-spark and relevant projects
☆22Updated 5 years ago
Alternatives and similar repositories for xgboost4j-spark-scalability:
Users that are interested in xgboost4j-spark-scalability are comparing it to the libraries listed below
- JPMML-SparkML plugin for converting LightGBM-Spark models to PMML☆41Updated 3 years ago
- JPMML-SparkML plugin for converting XGBoost4J-Spark models to PMML☆36Updated 4 years ago
- Some popular algorithms(dbscan,knn,fm etc.) on spark☆32Updated 6 years ago
- Spark-based GBM☆56Updated 5 years ago
- A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition☆36Updated 6 years ago
- The project implemented some machine learning algorithms on spark which is written in scala and it also included standalone implementatio…☆15Updated 3 years ago
- Affinity Propagation on Spark☆19Updated 3 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆11Updated 5 years ago
- Spark-based implementation of Adagrad and Adam solver☆11Updated 8 years ago
- Assembly of fundamental statistics implemented based on Apache Spark☆31Updated 9 years ago
- Online machine learning algorithms based on Spark streaming☆12Updated 9 years ago
- Parameter Server implementation in Apache Flink☆55Updated 6 years ago
- Machine Intelligence Toolkits- based on Parameter Server that Efficient Distributed Communication Framework and Alternating Direction Mu…☆11Updated 6 years ago
- ☆11Updated last year
- Multinomial Factorization Machines☆21Updated 8 years ago
- A Distributed Matrix Operations Library Built on Top of Spark☆106Updated 8 years ago
- Java library and command-line application for converting Apache Spark ML pipelines to PMML☆267Updated last month
- Mastering Machine Learning with Spark 2.x, published by Packt☆43Updated 2 years ago
- Spark On Angel, arming Spark with a powerful Parameter Server, which enable Spark to train very big models☆84Updated 2 years ago
- Vector-free L-BFGS implementation for Spark MLlib☆47Updated 7 years ago
- Spark MLlib code optimized to efficiently support sparse data☆51Updated 8 years ago
- Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems☆106Updated 8 years ago
- Java library and command-line application for converting XGBoost models to PMML☆129Updated last month
- Featureselection methods as Spark MLlib Pipelines☆30Updated 6 years ago
- Machine Learning Using Spark☆7Updated 9 years ago
- 通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线☆26Updated 7 years ago
- Some notes/codes on hyperparameters tuning techniques with some hacking around...☆24Updated 6 years ago
- Building Annoy Index on Apache Spark☆72Updated 4 years ago
- Kaggle's click through rate prediction with Spark Pipeline API☆23Updated 9 years ago
- A simplified version of featuretools for Spark☆31Updated 5 years ago