| Package | Description |
|---|---|
| org.deeplearning4j.arbiter.optimize.api | |
| org.deeplearning4j.arbiter.optimize.generator | |
| org.deeplearning4j.arbiter.optimize.runner | |
| org.deeplearning4j.arbiter.task |
| Modifier and Type | Method and Description |
|---|---|
Candidate |
CandidateGenerator.getCandidate()
Generate a candidate hyperparameter configuration
|
| Modifier and Type | Method and Description |
|---|---|
Callable<OptimizationResult> |
TaskCreator.create(Candidate candidate,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction,
List<StatusListener> statusListeners,
IOptimizationRunner runner)
Generate a callable that can be executed to conduct the training of this model (given the model configuration)
|
Callable<OptimizationResult> |
TaskCreator.create(Candidate candidate,
DataProvider dataProvider,
ScoreFunction scoreFunction,
List<StatusListener> statusListeners,
IOptimizationRunner runner)
Deprecated.
|
| Constructor and Description |
|---|
OptimizationResult(Candidate candidate,
Double score,
int index,
Object modelSpecificResults,
CandidateInfo candidateInfo,
ResultReference resultReference) |
| Modifier and Type | Method and Description |
|---|---|
Candidate |
GeneticSearchCandidateGenerator.getCandidate() |
Candidate |
GridSearchCandidateGenerator.getCandidate() |
Candidate |
RandomSearchGenerator.getCandidate() |
| Modifier and Type | Method and Description |
|---|---|
protected abstract org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult> |
BaseOptimizationRunner.execute(Candidate candidate,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction) |
protected org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult> |
LocalOptimizationRunner.execute(Candidate candidate,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction) |
protected abstract org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult> |
BaseOptimizationRunner.execute(Candidate candidate,
DataProvider dataProvider,
ScoreFunction scoreFunction)
Deprecated.
|
protected org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult> |
LocalOptimizationRunner.execute(Candidate candidate,
DataProvider dataProvider,
ScoreFunction scoreFunction) |
| Modifier and Type | Method and Description |
|---|---|
protected abstract List<org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult>> |
BaseOptimizationRunner.execute(List<Candidate> candidates,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction) |
protected List<org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult>> |
LocalOptimizationRunner.execute(List<Candidate> candidates,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction) |
protected abstract List<org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult>> |
BaseOptimizationRunner.execute(List<Candidate> candidates,
DataProvider dataProvider,
ScoreFunction scoreFunction)
Deprecated.
|
protected List<org.nd4j.shade.guava.util.concurrent.ListenableFuture<OptimizationResult>> |
LocalOptimizationRunner.execute(List<Candidate> candidates,
DataProvider dataProvider,
ScoreFunction scoreFunction) |
| Modifier and Type | Method and Description |
|---|---|
Callable<OptimizationResult> |
ComputationGraphTaskCreator.create(Candidate candidate,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction,
List<StatusListener> statusListeners,
IOptimizationRunner runner) |
Callable<OptimizationResult> |
MultiLayerNetworkTaskCreator.create(Candidate candidate,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction,
List<StatusListener> statusListeners,
IOptimizationRunner runner) |
Callable<OptimizationResult> |
ComputationGraphTaskCreator.create(Candidate candidate,
DataProvider dataProvider,
ScoreFunction scoreFunction,
List<StatusListener> statusListener,
IOptimizationRunner runner) |
Callable<OptimizationResult> |
MultiLayerNetworkTaskCreator.create(Candidate candidate,
DataProvider dataProvider,
ScoreFunction scoreFunction,
List<StatusListener> statusListeners,
IOptimizationRunner runner) |
void |
TaskListener.postProcess(Model model,
Candidate candidate)
Post process the model, after any training has taken place
|
<T extends Model> |
TaskListener.preProcess(T model,
Candidate candidate)
Preprocess the model, before any training has taken place.
|
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