MLlib is Spark’s scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives, as outlined below: MLlib是Spark分擴展的機器學習庫，由常見的學習算法及應用程序 所構成，其中包含分類(classification)，迴歸(regression)，群集(clustering)，協同過濾(collaborative filtering)，降維(dimensionality reduction)以及底層最佳化算法。