MLlib Discussions

MLlib is Spark's machine learning (ML) library that make practical machine learning scalable and easy it provides ML Algorithms: common learning algorithms such as classification, regression, clustering, and collaborative filtering, feature extraction, transformation, dimensionality reduction, and selection, tools for constructing, evaluating, and tuning ML Pipelines, saving and load algorithms, models, and Pipelines and linear algebra, statistics, data handling, etc. When users leave MLlib reviews, G2 also collects common questions about the day-to-day use of MLlib. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.