Package ai.djl.training.hyperparameter.optimizer

Class HpORandom

java.lang.Object

ai.djl.training.hyperparameter.optimizer.BaseHpOptimizer

ai.djl.training.hyperparameter.optimizer.HpORandom

All Implemented Interfaces:

HpOptimizer

public class HpORandom
extends BaseHpOptimizer

A simple HpOptimizer that tries random hyperparameter choices within the range.

Field Summary

Fields inherited from class ai.djl.training.hyperparameter.optimizer.BaseHpOptimizer

hyperParams, results

Constructor Summary

Constructors

Constructor	Description
HpORandom(HpSet hyperParams)	Constructs a new HpORandom.

Method Summary

Modifier and Type	Method	Description
HpSet	nextConfig()	Returns the next hyperparameters to test.

Methods inherited from class ai.djl.training.hyperparameter.optimizer.BaseHpOptimizer

getBest, getLoss, update

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

HpORandom

public HpORandom(HpSet hyperParams)

Constructs a new HpORandom.

Parameters:

hyperParams - the hyperparameters to test with

Method Details

nextConfig

public HpSet nextConfig()

Returns the next hyperparameters to test.

Returns:

the hyperparameters to test