// Databricks notebook source exported at Sun, 19 Jun 2016 11:29:39 UTC
Scalable Data Science
prepared by Raazesh Sainudiin and Sivanand Sivaram
supported by 
and
This is an elaboration of the Apache Spark 1.6 mllib-progamming-guide on mllib-data-types.
Overview
Data Types - MLlib Programming Guide
- Local vector and URL
- Labeled point and URL
- Local matrix and URL
- Distributed matrix and URL
- RowMatrix and URL
- IndexedRowMatrix and URL
- CoordinateMatrix and URL
- BlockMatrix and URL
MLlib supports local vectors and matrices stored on a single machine, as well as distributed matrices backed by one or more RDDs. Local vectors and local matrices are simple data models that serve as public interfaces. The underlying linear algebra operations are provided by Breeze and jblas. A training example used in supervised learning is called a “labeled point” in MLlib.
Scalable Data Science
prepared by Raazesh Sainudiin and Sivanand Sivaram
supported by
and