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...
The following section explains to effectively train a TF-IDF NLP model.
- It is ideal to have labels in a numerical format rather than a categorical form as the model is able to interpret numerical values while classifying outputs between 0 and 1. Therefore, all labels under the label column are converted to a numerical label of 0.0 or 1.0, as seen in the following screenshot:
- TF-IDF models require a two-step approach by importing both HashingTF and IDF from pyspark.ml.feature to handle separate tasks. The first task merely involves importing both HashingTF and IDF and assigning values for the input and subsequent output columns. ...
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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.
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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.