Package | Description |
---|---|
org.apache.ignite.ml.selection.cv |
Root package for cross-validation algorithms.
|
org.apache.ignite.ml.selection.scoring.evaluator |
Package for model evaluator classes.
|
org.apache.ignite.ml.selection.scoring.metric |
Package for metrics.
|
org.apache.ignite.ml.selection.scoring.metric.classification |
Package for classification metrics.
|
org.apache.ignite.ml.selection.scoring.metric.regression |
Package for regression metrics.
|
Modifier and Type | Field and Description |
---|---|
protected Metric |
AbstractCrossValidation.metric
Metric.
|
Modifier and Type | Method and Description |
---|---|
static <K,V> EvaluationResult |
Evaluator.evaluate(DatasetBuilder<K,V> datasetBuilder,
IgniteModel<Vector,Double> mdl,
Preprocessor<K,V> preprocessor,
Metric... metrics)
Evaluate model.
|
static <K,V> double |
Evaluator.evaluate(IgniteCache<K,V> dataCache,
IgniteBiPredicate<K,V> filter,
IgniteModel<Vector,Double> mdl,
Preprocessor<K,V> preprocessor,
Metric metric)
Computes the given metric on the given cache.
|
static <K,V> double |
Evaluator.evaluate(IgniteCache<K,V> dataCache,
IgniteModel<Vector,Double> mdl,
Preprocessor<K,V> preprocessor,
Metric metric)
Computes the given metric on the given cache.
|
static <K,V> double |
Evaluator.evaluate(Map<K,V> dataCache,
IgniteBiPredicate<K,V> filter,
IgniteModel<Vector,Double> mdl,
Preprocessor<K,V> preprocessor,
Metric metric)
Computes the given metric on the given cache.
|
static <K,V> double |
Evaluator.evaluate(Map<K,V> dataCache,
IgniteModel<Vector,Double> mdl,
Preprocessor<K,V> preprocessor,
Metric metric)
Computes the given metric on the given cache.
|
Modifier and Type | Method and Description |
---|---|
Metric |
MetricName.create()
Creates an instance of metric class by name.
|
Metric<L,C,A> |
Metric.initBy(A aggr)
Initializes metric value by statistics aggregator.
|
Modifier and Type | Class and Description |
---|---|
class |
Accuracy<L extends Serializable>
Accuracy metric class.
|
class |
BalancedAccuracy<L extends Serializable>
BalancedAccuracy metric class.
|
class |
BinaryClassificationMetric<L extends Serializable>
Common abstract class for all binary classification metrics.
|
class |
FallOut<L extends Serializable>
FallOut metric class.
|
class |
FalseNegativeAbsoluteValue<L extends Serializable>
FalseNegative metric class.
|
class |
FalsePositiveAbsoluteValue<L extends Serializable>
FalsePositive metric class.
|
class |
Fdr<L extends Serializable>
FDR metric class.
|
class |
FMeasure<L extends Serializable>
F-measure metric class.
|
class |
MissRate<L extends Serializable>
MissRate metric class.
|
class |
Npv<L extends Serializable>
NPV metric class.
|
class |
Precision<L extends Serializable>
Precision metric class for binary classification.
|
class |
Recall<L extends Serializable>
Recall metric class for binary classification.
|
class |
Specificity<L extends Serializable>
Specificity metric class.
|
class |
TrueNegativeAbsoluteValue<L extends Serializable>
TrueNegative metric class.
|
class |
TruePositiveAbsoluteValue<L extends Serializable>
TruePositive metric class.
|
Modifier and Type | Class and Description |
---|---|
class |
Mae
Class for mean absolute error metric.
|
class |
Mse
Class for mean squared error metric.
|
class |
R2
Class for coefficient of determination metric.
|
class |
Rmse
Class for RMSE metric.
|
class |
Rss
Class for RSS metric (residual sum of squares).
|
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Ignite Database and Caching Platform : ver. 2.9.0 Release Date : October 15 2020