machine-learning-in-spark-with-pyspark
Public[A repo to store some code and experiences about machine learning in spark with pyspark] Spark comes with a library containing common machine learning (ML) functionality, called MLlib. MLlib provides multiple types of machine learning algorithms, including classification, regression, clustering, and collaborative filtering, as well as supporting functionality such as model evaluation and data import. It also provides some lower-level ML primitives, including a generic gradient descent optimization algorithm. All of these methods are designed to scale out across a cluster.
Creat：2019-06-03T00:39:14
Update：2019-09-07T21:43:17
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