#Java-based machine learning examples

This project includes non-productive example code for illustration purposes.

class	description
LinearRegressionFunction	Implements a straightforward, rudimentary linear regression function. This class includes a main method also which shows how to use it.
Cost	Determines the cost of an concrete linear regression function instance.
Leaner	Trains/improves a linear regression function by creating a new improved instance. This class implements a gradient descent algorithm.
FunctionUnderfittingExample	Shows how to train a linear regression function based on test data. The resulting function underfits caused by the low number of features
FunctionBalancedExample	Shows how to train a balanced linear regression function based on test data.
FunctionOverfittingExample	Shows how to train a overfitting linear regression function based on test data.