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Apache Spark Deep Learning Cookbook
book

Apache Spark Deep Learning Cookbook

by Ahmed Sherif, Amrith Ravindra, Michal Malohlava, Adnan Masood
July 2018
Intermediate to advanced content levelIntermediate to advanced
474 pages
13h 37m
English
Packt Publishing
Content preview from Apache Spark Deep Learning Cookbook

How it works...

This section will focus on explaining the fields in each of the datasets available in the MovieLens 100K dataset. Take a look at these steps:

  1. The datasets are all available in the zipped file, ml-latest-small.zip, where the ratings.csv dataset will serve as the pseudo-fact table of our data, since it has transactions for each movie that is rated. The dataset, ratings, has the four column names shown in the following screenshot:
  1. The dataset shows the rating selected by each userId over the course of their time, from the earliest rating to the latest rating. The range of a rating can vary from 0.5 to 5.0 stars, as seen by ...
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Publisher Resources

ISBN: 9781788474221Supplemental Content