April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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Evaluating k for SVD on the LFW dataset
We will examine the singular values obtained from computing the SVD on our image data. We can verify that the singular values are the same for each run, and that they are returned in a decreasing order, as follows:
val sValues = (1 to 5).map { i => matrix.computeSVD(i, computeU = false).s } sValues.foreach(println)
This last code should generate an output similar to the following:
[54091.00997110354][54091.00997110358,33757.702867982436][54091.00997110357,33757.70286798241,24541.193694775946][54091.00997110358,33757.70286798242,24541.19369477593, 23309.58418888302][54091.00997110358,33757.70286798242,24541.19369477593, 23309.584188882982,21803.09841158358]
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.