HpOptimizer (Deep Java Library 0.22.1 API specification)

All Known Implementing Classes:

BaseHpOptimizer, HpORandom
```
public interface HpOptimizer
```
An optimizer for Hyperparameters.

See Also:

Hyperparameter

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`ai.djl.util.Pair<HpSet,java.lang.Float>`	`getBest()`	Returns the best hyperparameters and loss.
`float`	`getLoss(HpSet config)`	Returns the recorded loss.
`HpSet`	`nextConfig()`	Returns the next hyperparameters to test.
`void`	`update(HpSet config, float loss)`	Updates the optimizer with the results of a hyperparameter test.

- Method Detail
  - nextConfig
```
HpSet nextConfig()
```
    Returns the next hyperparameters to test.
    
    Returns:
    
    the hyperparameters to test
  - update
```
void update(HpSet config,
            float loss)
```
    Updates the optimizer with the results of a hyperparameter test.
    
    Parameters:
    
    config - the tested hyperparameters
    
    loss - the validation loss from training with those hyperparameters
  - getLoss
```
float getLoss(HpSet config)
```
    Returns the recorded loss.
    
    Parameters:
    
    config - the hyperparameters that were trained with
    
    Returns:
    
    the loss
    
    Throws:
    
    java.util.NoSuchElementException - if the hyperparameters were not trained with before
  - getBest
```
ai.djl.util.Pair<HpSet,java.lang.Float> getBest()
```
    Returns the best hyperparameters and loss.
    
    Returns:
    
    the best hyperparameters and loss