Announcing Microsoft Machine Learning Library for Apache Spark
This post is authored by Roope Astala, Senior Program Manager, and Sudarshan Raghunathan, Principal Software Engineering Manager, at Microsoft. We're excited to announce the Microsoft Machine Learning library for Apache Spark – a library designed to make data scientists more productive on Spark, increase the rate of experimentation, and leverage cutting-edge machine learning techniques – including
Engineering Blogs - Ooyala Community
Written by Anupama Shetty 4/13/17 Code coverage as defined by Wikipedia refers to a measure used to describe the degree to which the source code of a program is executed when a particular test suite runs. Thus, serving as a metric to track the percentage of code lines having a corresponding test to validate its functionality. While code coverage itself is not a self sufficient metric and may not a
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