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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 explain the logic behind the steps in preparing the feature variables for our model.

  1. Only the indicators in the dataframe that are truly independent of an indication of fire are selected to contribute to the logistic regression model that will predict the outcome. The reason this is performed is to remove any potential bias in the dataset that may already reveal the outcome of the prediction. This minimizes human interaction with the final outcome. The output of the updated dataframe can be seen in the following screenshot:
Please note that the column Neighborhooods - Analysis of Boundaries is originally ...
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Publisher Resources

ISBN: 9781788474221Supplemental Content