de.jungblut.online.minimizer

Interface StochasticMinimizer

All Known Implementing Classes:

StochasticGradientDescent

public interface StochasticMinimizer

Method Summary

Modifier and Type	Method and Description
de.jungblut.math.DoubleVector	minimize(de.jungblut.math.DoubleVector start, java.util.function.Supplier<java.util.stream.Stream<de.jungblut.online.ml.FeatureOutcomePair>> streamSupplier, StochasticCostFunction costFunction, int numPasses, boolean verbose) Minimizes the given stochastic cost function on the supplied streams for the given amount of passes over the data.

Method Detail

minimize

de.jungblut.math.DoubleVector minimize(de.jungblut.math.DoubleVector start,
                                       java.util.function.Supplier<java.util.stream.Stream<de.jungblut.online.ml.FeatureOutcomePair>> streamSupplier,
                                       StochasticCostFunction costFunction,
                                       int numPasses,
                                       boolean verbose)

Minimizes the given stochastic cost function on the supplied streams for the given amount of passes over the data.

Parameters:

start - the start parameters.

streamSupplier - the supplier for the data training streams.

costFunction - the cost function to minimize.

numPasses - the number of passes over the streams.

verbose - true if progress should be printed to the log.

Returns:

the optimized set of parameters.