| 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)
|
| Modifier and Type | Method and Description |
|---|---|
double |
ScoreFunction.score(Object model,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties)
Calculate and return the score, for the given model and data provider
|
| Modifier and Type | Method and Description |
|---|---|
OptimizationConfiguration.Builder |
OptimizationConfiguration.Builder.dataSource(Class<? extends DataSource> dataSource,
Properties dataSourceProperties)
DataSource: defines where the data should come from for training and testing.
|
| Modifier and Type | Method and Description |
|---|---|
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,
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,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction) |
| Modifier and Type | Method and Description |
|---|---|
double |
BaseNetScoreFunction.score(Object model,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties) |
| Modifier and Type | Method and Description |
|---|---|
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,
Class<? extends DataSource> dataSource,
Properties dataSourceProperties,
ScoreFunction scoreFunction,
List<StatusListener> statusListeners,
IOptimizationRunner runner) |
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