MLlib: Machine learning in Apache Spark
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLLIB, Spark's open-source distributed machine learning library. MLLIB provides efficient functionality for a wide range of learning...
Main Authors: | Meng, Xiangrui, Bradley, Joseph, Yavuz, Burak, Sparks, Evan, Venkataraman, Shivaram, Liu, Davies, Freeman, Jeremy, Tsai, DB, Amde, Manish, Owen, Sean, Xin, Doris, Franklin, Michael J., Zadeh, Reza, Talwakar, Ameet, Zaharia, Matei A |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Published: |
JMLR, Inc.
2018
|
Online Access: | http://hdl.handle.net/1721.1/116816 https://orcid.org/0000-0002-7547-7204 |
Similar Items
-
Work-sharing framework for Apache Spark
by: Yu, Lucy, M. Eng. Massachusetts Institute of Technology
Published: (2018) -
Shade : a differentially private wrapper around Apache Spark
by: Heifetz, Alexander G. (Alexander Garon)
Published: (2018) -
Mobile big data analytics using deep learning and Apache Spark
by: Niyato, Dusit, et al.
Published: (2016) -
Augmented virtuality for apache simulated training
by: Lin, Junyuan.
Published: (2011) -
An External Independent Validation of APACHE IV in a Malaysian Intensive Care Unit
by: Wong, R.S., et al.
Published: (2015)