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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Mean Absolute Error
MAE is the average of the absolute differences between the predicted and actual targets and is given as follows:
MAE is similar in principle to MSE, but it does not punish large deviations as much.
Our function to compute MAE is as follows:
Scala def absError(actual:Double, pred: Double) : Double = { return Math.abs( (pred - actual)) }
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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.