A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Saul : Declarative Learning-Based Programming

A scala-based feature generation and modeling framework

My MSc on Data Science final project. This is a library for Data Pre-processing Algorithms for Streaming in Flink (DPASF)

This is OpenMLDB's Spark Distribution, which is particularly optimized for feature extraction. It includes a few novel techniques, such as native implementation of last join and multi-window parallelization. Its APIs are fully compatible with the standard Spark. It is designed to be a component of OpenMLDB (/~https://github.com/4paradigm/OpenMLDB).

scala spark dataframes example for Machin Learning feature pruning

Snippets of spark/scala code used to do some handy feature engineering

Scala Library for extracting useful information from trained Spark Model (DecisionTreeClassificationModel)