July 2018
Intermediate to advanced
474 pages
13h 37m
English
book
Apache Spark Deep Learning Cookbook
by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
Content preview from Apache Spark Deep Learning Cookbook
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How it works...
This section explains how we use the evaluation calculations to determine the accuracy of our model.
- A confusion matrix is helpful to quickly summarize the accuracy numbers between actual results and predicted results. Since we had a 75:25 split, we should see 25 predictions from our training dataset. We can build a build a confusion matric using the following script: predictionDF.crosstab('label', 'prediction').show(). The output of the script can be seen in the following screenshot:
- We are now at the stage of evaluating the accuracy of the model by comparing the prediction values against the actual label values. sklearn.metrics ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.