This sample demonstrates how a model is generated out of a dataset using the logistic regression SGD algorithm using tuned hyper parameter values. You can find these parameter values in the
<ML_HOME>/samples/tuned/logistic-regression-sgd/hyper-parameters file. The sample uses a data set to generate a model, which is divided into two sets for training and testing.
The Logistic Regression SGD algorithm generates a PMML supported model.
Follow the steps below to set up the prerequisites before you start.