Package | Description |
---|---|
org.wso2.carbon.ml.core.spark.algorithms | |
org.wso2.carbon.ml.core.spark.summary |
Modifier and Type | Method and Description |
---|---|
Map<Integer,MulticlassMetrics> |
AnomalyDetectionModelBuilder.getEvaluationResults(AnomalyDetectionModel anomalyDetectionModel,
org.apache.spark.api.java.JavaRDD<org.apache.spark.mllib.linalg.Vector> normalTestData,
org.apache.spark.api.java.JavaRDD<org.apache.spark.mllib.linalg.Vector> anomalyTestData,
int minPercentile,
int maxPercentile,
String newNormalLabel,
String newAnomalyLabel)
This method is to evaluate the anomaly detection model
|
Modifier and Type | Method and Description |
---|---|
Map<Integer,MulticlassMetrics> |
AnomalyDetectionModelSummary.getPercentileToMulticlassMetricsMap() |
Modifier and Type | Method and Description |
---|---|
void |
AnomalyDetectionModelSummary.setPercentileToMulticlassMetricsMap(Map<Integer,MulticlassMetrics> percentileToMulticlassMetricsMap) |
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