September 2016
Beginner to intermediate
344 pages
7h 44m
English
Content preview from Spark for Data ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Multilayer perceptron classifier
A multilayer perceptron classifier (MLPC) is a feedforward artificial neural network with multiple layers of nodes connected to each other in a directed fashion. It uses a supervised learning technique called backpropagation for training the network.
Nodes in the intermediary layer use the sigmoid function to restrict the output between 0 and 1, and the nodes in the output layer use the softmax function, which is a generalized version of the sigmoid function.
Scala:
scala> import org.apache.spark.ml.classification.MultilayerPerceptronClassifier import org.apache.spark.ml.classification.MultilayerPerceptronClassifier scala> import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator import org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator ...
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