ScoreCalculator (deeplearning4j-nn 1.0.0-M2.1 API)

All Superinterfaces:

Serializable

All Known Implementing Classes:

AutoencoderScoreCalculator, BaseIEvaluationScoreCalculator, BaseMLNScoreCalculator, BaseScoreCalculator, ClassificationScoreCalculator, DataSetLossCalculator, DataSetLossCalculatorCG, RegressionScoreCalculator, ROCScoreCalculator, VAEReconErrorScoreCalculator, VAEReconProbScoreCalculator
```
public interface ScoreCalculator<T extends Model>
extends Serializable
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`calculateScore(T network)`	Calculate the score for the given MultiLayerNetwork
`boolean`	`minimizeScore()`

- Method Detail
  - calculateScore
```
double calculateScore(T network)
```
    Calculate the score for the given MultiLayerNetwork
  - minimizeScore
```
boolean minimizeScore()
```
    Returns:
    
    If true: the score should be minimized. If false: the score should be maximized.