Evaluation for classification

The core DL4J class when implementing evaluations is called evaluation (https://static.javadoc.io/org.deeplearning4j/deeplearning4j-nn/0.9.1/org/deeplearning4j/eval/Evaluation.html, part of the DL4J NN module).

The dataset that will be used for the example presented in this subsection is the Iris dataset (it is available for download at https://archive.ics.uci.edu/ml/datasets/iris). It is a multivariate dataset that was introduced in 1936 by the British statistician and biologist Ronald Fisher (https://en.wikipedia.org/wiki/Ronald_Fisher). It contains 150 records – 50 samples – from three species of Iris flower (Iris setosa, Iris virginica, and Iris versicolor). Four attributes (features) have been measured from ...

Get Hands-On Deep Learning with Apache Spark now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.