Adagrad.Builder (Deep Java Library 0.24.0 API specification)

java.lang.Object
- ai.djl.training.optimizer.Optimizer.OptimizerBuilder<Adagrad.Builder>
- - ai.djl.training.optimizer.Adagrad.Builder

Enclosing class:: Adagrad

public static final class Adagrad.Builder
extends Optimizer.OptimizerBuilder<Adagrad.Builder>

The Builder to construct an Adagrad object.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Adagrad`	`build()`	Builds a `Adagrad` block.
`Adagrad.Builder`	`optEpsilon(float epsilon)`	Sets \(epsilon\) - a small quantity for numerical stability.
`Adagrad.Builder`	`optLearningRateTracker(ParameterTracker learningRateTracker)`	Sets the `ParameterTracker` for this optimizer.
`protected Adagrad.Builder`	`self()`

Methods inherited from class ai.djl.training.optimizer.Optimizer.OptimizerBuilder
optBeginNumUpdate, optClipGrad, optWeightDecays, setRescaleGrad

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

- Method Detail
  - self
```
protected Adagrad.Builder self()
```
    Specified by:
    
    self in class Optimizer.OptimizerBuilder<Adagrad.Builder>
  - optLearningRateTracker
```
public Adagrad.Builder optLearningRateTracker(ParameterTracker learningRateTracker)
```
    Sets the ParameterTracker for this optimizer.
    
    Parameters:
    
    learningRateTracker - the ParameterTracker to be set
    
    Returns:
    
    this Builder
  - optEpsilon
```
public Adagrad.Builder optEpsilon(float epsilon)
```
    Sets \(epsilon\) - a small quantity for numerical stability.
    
    Parameters:
    
    epsilon - a small quantity for numerical stability
    
    Returns:
    
    this Builder
  - build
```
public Adagrad build()
```
    Builds a Adagrad block.
    
    Returns:
    
    the Adagrad block