About this document

Streaming Linear Regression with Spark MLlib by ravigobi is a document available to read on EtoBox.

This document discusses comparing the performance of two frameworks, MOA and Spark MLlib, for streaming linear regression analysis on continuous data streams. It provides background on data streams and challenges in analyzing streaming data. Streaming linear regression is implemented in both MOA and Spark MLlib using the stochastic gradient descent algorithm. Experiments are conducted to compare the frameworks

Author

ravigobi

Language

EN