CODAIT / aardpfarkLinks
A library for exporting Spark ML models and pipelines to PFA
☆54Updated 6 years ago
Alternatives and similar repositories for aardpfark
Users that are interested in aardpfark are comparing it to the libraries listed below
Sorting:
- Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)☆74Updated last year
- Implementations of the Portable Format for Analytics (PFA)☆127Updated 2 years ago
- Spark ML Lib serving library☆48Updated 7 years ago
- PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)☆94Updated 3 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Featureselection methods as Spark MLlib Pipelines☆30Updated 7 years ago
- Drizzle integration with Apache Spark☆120Updated 6 years ago
- ☆21Updated 10 years ago
- [ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples☆70Updated 4 years ago
- Structured Streaming Machine Learning example with Spark 2.0☆92Updated 8 years ago
- Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark☆147Updated 9 years ago
- Factorization Machines on Spark and Glint☆25Updated 8 years ago
- Support Highcharts in Apache Zeppelin☆81Updated 7 years ago
- An umbrella project for multiple implementations of model serving☆45Updated 7 years ago
- A curated inventory of machine learning methods available on the Apache Spark platform, both in official and third party libraries.☆65Updated 8 years ago
- Topic Modeling on Apache Spark☆94Updated 6 years ago
- something to help you spark☆65Updated 6 years ago
- Simple Spark example of generating table stats for use of data quality checks☆28Updated 8 years ago
- Building Annoy Index on Apache Spark☆72Updated 4 years ago
- Joins for skewed datasets in Spark☆57Updated 7 years ago
- Spark Structured Streaming State Tools☆34Updated 5 years ago
- flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Fl…☆96Updated 6 years ago
- ☆106Updated 2 years ago
- Library for organizing batch processing pipelines in Apache Spark☆42Updated 8 years ago
- Spark Parameter Optimization and Tuning☆31Updated 7 years ago
- Common library for serving TensorFlow, XGBoost and scikit-learn models in production.☆139Updated last year
- Google BigQuery support for Spark, Structured Streaming, SQL, and DataFrames with easy Databricks integration.☆70Updated 2 years ago
- This project provides sequential pattern mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and co…☆30Updated 10 years ago
- Using JPMML Evaluator to validate the PMML models exported from Spark☆19Updated 8 years ago
- Visualize streaming machine learning in Spark☆176Updated 8 years ago