TaskCreator (deeplearning4j 1.0.0-beta6 API)

All Known Implementing Classes:

ComputationGraphTaskCreator, MultiLayerNetworkTaskCreator
```
public interface TaskCreator
```
The TaskCreator is used to take a candidate configuration, data provider and score function, and create something that can be executed as a Callable

Author:

Alex Black

Method Summary

All Methods Instance Methods Abstract Methods Deprecated Methods
Modifier and Type	Method and Description
`Callable<OptimizationResult>`	`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>`	`create(Candidate candidate, DataProvider dataProvider, ScoreFunction scoreFunction, List<StatusListener> statusListeners, IOptimizationRunner runner)` Deprecated.

Method Detail

create

@Deprecated
Callable<OptimizationResult> create(Candidate candidate,
                                                 DataProvider dataProvider,
                                                 ScoreFunction scoreFunction,
                                                 List<StatusListener> statusListeners,
                                                 IOptimizationRunner runner)

Deprecated.

Generate a callable that can be executed to conduct the training of this model (given the model configuration)

Parameters:: candidate - Candidate (model) configuration to be trained; dataProvider - DataProvider, for the data; scoreFunction - Score function to be used to evaluate the model; statusListeners - Status listeners, that can be used for callbacks (to UI, for example)
Returns:: A callable that returns an OptimizationResult, once optimization is complete

create

Callable<OptimizationResult> 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)

Parameters:: candidate - Candidate (model) configuration to be trained; dataSource - Data source; dataSourceProperties - Properties (may be null) for the data source; scoreFunction - Score function to be used to evaluate the model; statusListeners - Status listeners, that can be used for callbacks (to UI, for example)
Returns:: A callable that returns an OptimizationResult, once optimization is complete

Interface TaskCreator

Method Summary

Method Detail

create

create