This documentation is for Machine Learner 1.1.0. View documentation for the latest release.

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This sample demonstrates how a model is generated out of a dataset using the Support Vector Machine (SVM) algorithm using tuned hyper parameter values. You can find these parameter values in the <ML_HOME>/samples/tuned/svm/hyper-parameters file. The sample uses a data set to generate a model, which is divided into two sets for training and testing.


The Support Vector Machine algorithm generates a PMML supported model.


Follow the steps below to set up the prerequisites before you start.