GradientStepFunction (deeplearning4j-nn 1.0.0-M2.1 API)

java.lang.Object
- org.deeplearning4j.optimize.stepfunctions.GradientStepFunction

All Implemented Interfaces:: Serializable, StepFunction

public class GradientStepFunction
extends Object
implements StepFunction

See Also:: Serialized Form

Constructor Summary

Constructors
Constructor Description

GradientStepFunction()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`step()`
`void`	`step(INDArray x, INDArray line)`	Step with no parameters
`void`	`step(INDArray x, INDArray line, double step)`	Step with the given parameters

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

- Constructor Detail
  - GradientStepFunction
```
public GradientStepFunction()
```
- Method Detail
  - step
```
public void step(INDArray x,
                 INDArray line,
                 double step)
```
    Description copied from interface: StepFunction
    
    Step with the given parameters
    
    Specified by:
    
    step in interface StepFunction
    
    Parameters:
    
    x - the current parameters
    
    line - the line to step
  - step
```
public void step(INDArray x,
                 INDArray line)
```
    Description copied from interface: StepFunction
    
    Step with no parameters
    
    Specified by:
    
    step in interface StepFunction
  - step
```
public void step()
```
    Specified by:
    
    step in interface StepFunction