
net.sansa_stack.ml.spark.anomalydetection.DistADConfig.scala Maven / Gradle / Ivy
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RDF/OWL Machine Learning Library for Apache Spark
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package net.sansa_stack.ml.spark.anomalydetection
import com.typesafe.config.Config
import net.sansa_stack.ml.spark.utils.ConfigResolver
/** This class gets a config file path and reads the values from the config file
* @param path the path of the config file
*/
class DistADConfig(path: String) extends Serializable {
val cfg: Config = new ConfigResolver(path).getConfig()
/**
* Static values
*/
val PARTIAL: String = "Partial"
val FULL: String = "Full"
val MINHASHLSH: String = "MinHashLSH"
val BISECTINGKMEANS: String = "BisectingKmeans"
val IQR: String = "IQR"
val MAD: String = "MAD"
val ZSCORE: String = "ZSCORE"
val PIVOT: String = "Pivot"
val LITERAL2FEATURE: String = "Literal2Feature"
val NUMERICLITERAL: String = "NumericLiteral"
val PREDICATE: String = "Predicate"
val MULTIFEATURE: String = "MultiFeature"
val CONOD: String = "CONOD"
var silhouetteMethod: Boolean = cfg.getBoolean("silhouetteMethod")
var silhouetteMethodSamplingRate: Double =
cfg.getDouble("silhouetteMethodSamplingRate")
var verbose: Boolean = cfg.getBoolean("verbose")
var writeResultToFile: Boolean = cfg.getBoolean("writeResultToFile")
var clusteringType: String = cfg.getString("clusteringType")
var inputData: String = cfg.getString("inputData")
var resultFilePath: String = cfg.getString("resultFilePath")
var anomalyListSize: Int = cfg.getInt("anomalyListSize")
var anomalyDetectionType: String = cfg.getString("anomalyDetectionType")
var anomalyDetectionAlgorithm: String =
cfg.getString("anomalyDetectionAlgorithm")
var featureExtractor: String = cfg.getString("featureExtractor")
var numberOfClusters: Int = cfg.getInt("numberOfClusters")
var clusteringMethod: String = cfg.getString("clusteringMethod")
/** CONOD
*/
var pairWiseDistanceThreshold: Double =
cfg.getDouble("pairWiseDistanceThreshold")
/** Isolation Forest
*/
var maxSampleForIF: Int = cfg.getInt("maxSampleForIF")
var numEstimatorsForIF: Int = cfg.getInt("numEstimatorsForIF")
/**
* Literal2Feature
*/
var l2fDepth: Int = cfg.getInt("depth")
var l2fSeedNumber: Int = cfg.getInt("seedNumber")
override def toString =
s"DistADConfig(silhouetteMethod=$silhouetteMethod, silhouetteMethodSamplingRate=$silhouetteMethodSamplingRate, verbose=$verbose, writeResultToFile=$writeResultToFile, clusteringType=$clusteringType, inputData=$inputData, resultFilePath=$resultFilePath, anomalyListSize=$anomalyListSize, anomalyDetectionType=$anomalyDetectionType, anomalyDetectionAlgorithm=$anomalyDetectionAlgorithm, featureExtractor=$featureExtractor, numberOfClusters=$numberOfClusters, clusteringMethod=$clusteringMethod, pairWiseDistanceThreshold=$pairWiseDistanceThreshold, maxSampleForIF=$maxSampleForIF, numEstimatorsForIF=$numEstimatorsForIF, l2fDepth=$l2fDepth, l2fSeedNumber=$l2fSeedNumber)"
}
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