MLlib

MLlib is the machine learning library for Apache Spark, designed to make practical machine learning scalable and user-friendly. It offers a wide spectrum of ML tools such as algorithms for classification, regression, clustering, collaborative filtering, feature extraction, data transformation, streamlined ML pipelines, and utilities for statistics and linear algebra. MLlib supports both RDD and DataFrame APIs, with primary support on DataFrames for their flexibility and performance across languages like Scala, Python, and R. It is ideal for data scientists, ML engineers, and developers building scalable machine learning workflows in distributed computing environments.