| Package | Description |
|---|---|
| de.jungblut.classification.eval | |
| de.jungblut.reader |
| Modifier and Type | Field and Description |
|---|---|
protected EvaluationSplit |
EvaluationListener.split |
| Modifier and Type | Method and Description |
|---|---|
static EvaluationSplit |
EvaluationSplit.create(de.jungblut.math.DoubleVector[] features,
de.jungblut.math.DoubleVector[] outcome,
float splitFraction,
boolean random)
Creates a new evaluation split.
|
static EvaluationSplit |
EvaluationSplit.createStratified(de.jungblut.math.DoubleVector[] features,
de.jungblut.math.DoubleVector[] outcome,
float splitFraction,
boolean random)
Creates a new stratified evaluation split.
|
| Modifier and Type | Method and Description |
|---|---|
static Evaluator.EvaluationResult |
Evaluator.evaluateSplit(Classifier classifier,
EvaluationSplit split)
Evaluates a given train/test split with the given classifier.
|
static Evaluator.EvaluationResult |
Evaluator.evaluateSplit(Classifier classifier,
EvaluationSplit split,
Double threshold)
Evaluates a given train/test split with the given classifier.
|
| Constructor and Description |
|---|
EvaluationListener(WeightMapper<A> mapper,
EvaluationSplit split)
Initializes this listener.
|
EvaluationListener(WeightMapper<A> mapper,
EvaluationSplit split,
int runInterval)
Initializes this listener.
|
TestSetIterationCallback(EvaluationSplit split,
WeightMapper<T> mapper,
Comparator<Evaluator.EvaluationResult> resultComparison)
Creates a new test set iteration callback instance.
|
TestSetIterationCallback(EvaluationSplit split,
WeightMapper<T> mapper,
Comparator<Evaluator.EvaluationResult> resultComparison,
int evaluationInterval)
Creates a new test set iteration callback instance.
|
| Modifier and Type | Method and Description |
|---|---|
static EvaluationSplit |
IrisReader.getEvaluationSplit(Dataset irisData) |
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