public class GradientAscent
extends java.lang.Object
implements Optimizer

Nested Class Summary
- Nested classes/interfaces inherited from interface cc.mallet.optimize.Optimizer
  Optimizer.ByBatches

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double`	`getInitialStepSize()`
`LineOptimizer.ByGradient`	`getLineMaximizer()`
`Optimizable`	`getOptimizable()`
`double`	`getStpmax()`
`boolean`	`isConverged()`
`boolean`	`optimize()`
`boolean`	`optimize(int numIterations)`
`void`	`setEvaluator(OptimizerEvaluator.ByGradient eval)`
`void`	`setInitialStepSize(double initialStepSize)`
`void`	`setMaxStepSize(double v)`
`void`	`setStpmax(double stpmax)`
`void`	`setTolerance(double tolerance)`	Sets the tolerance in the convergence test: 2.0\|value-old_value\| <= tolerance(\|value\|+\|old_value\|+eps) Default value is 0.001.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

public GradientAscent(Optimizable.ByGradientValue function)

public LineOptimizer.ByGradient getLineMaximizer()

public void setInitialStepSize(double initialStepSize)

public void setStpmax(double stpmax)

public void setMaxStepSize(double v)

public void setEvaluator(OptimizerEvaluator.ByGradient eval)

Class GradientAscent