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Scala Machine Learning Projects
book

Scala Machine Learning Projects

by Md. Rezaul Karim
January 2018
Intermediate to advanced
470 pages
11h 9m
English
Packt Publishing
Content preview from Scala Machine Learning Projects

The frontend

The app consists of two main parts: the API endpoint, built with the play framework, and the frontend single-page application, built with Angular.js. The frontend app sends the data to the API to get computed and then shows the results using chart.js. Here are the steps that we need for this:

  • Initialize the form
  • Communicate with the API
  • Populate the view with coverage data and charts

The algorithm's JSON output should be as follows:

  • All the config parameters are returned
  • GOAL_STATE_INDEX, the maximum Profit Index
  • COVERAGE, the ratio of training trials or epochs that reach a predefined goal state
  • COVERAGE_STATES, the size of the quantized option values
  • COVERAGE_TRANSITIONS, the number of states squared
  • Q_VALUE, the q-value ...
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Publisher Resources

ISBN: 9781788479042