Package ai.libs.jaicore.ml.core.optimizing

Interface IGradientDescendableFunction

All Known Subinterfaces:

IDyadRankingFeatureTransformPLGradientDescendableFunction

All Known Implementing Classes:

DyadRankingFeatureTransformNegativeLogLikelihood

public interface IGradientDescendableFunction

This interface represents a function that is differentiable and thus can be used by gradient descent algorithms. In particular, if a function implements this interface, we assume that the underlying space is convex.

Method Summary

Modifier and Type	Method	Description
double	apply(ai.libs.jaicore.math.linearalgebra.Vector vector)	Applies the function for the point represented by the given vector.

Method Detail

apply

double apply(ai.libs.jaicore.math.linearalgebra.Vector vector)

Applies the function for the point represented by the given vector.

Parameters:

vector - the point to which to apply the function

Returns:

the function value at the applied point