Spark MLlib | Machine Learning Library


January 5, 2017


MLlib is Spark’s machine learning library, which focus on learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as underlying optimization primitives. MLlib fits into Spark’s APIs and interoperates with Scala. You can use any Hadoop data source (e.g. HDFS, HBase, or local files), making it easy to plug into Hadoop workflows. It is built on Apache Spark, which is a fast and general engine for large scale processing. Supposedly, running times or up to 100x faster than Hadoop MapReduce, or 10x faster on disk. Supports writing applications in Java, Scala, or Python. MLlib contains algorithms and utilities like Classification, Regression, Recommendation, Clustering, Collaborative Filtering, Clustering, Dimensionality Reduction, Feature Extraction and Transformation etc.


MIRI MLlib Support

When you join to the MIRI MLlib, your AWS commercial center membership will be naturally distinguished. MIRI MLlib provides technical support for installation and setup issues through our support center.

Contact No. at- +1 (510)298-5936


24*7 Hrs facility is available. Client can contact us at anytime.

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