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net.sansa_stack.ml.spark.anomalydetection

PredicateAnomalyDetection

class PredicateAnomalyDetection extends AnyRef

This class runs anomaly detection on the level of predicates

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Instance Constructors

  1. new PredicateAnomalyDetection(spark: SparkSession, originalDataRDD: RDD[Triple], config: DistADConfig)

    spark

    the initiated Spark session

    originalDataRDD

    RDD[Triple]

    config

    the config file object

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def addClusterIdToData(data: DataFrame, predictions: DataFrame): DataFrame

    Adds the cluster ID to data

    Adds the cluster ID to data

    data

    data

    predictions

    dataframe containing cluster ids

    returns

    a new dataframe with cluster ids

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  14. final def notifyAll(): Unit
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  15. def run(): DataFrame

    The main function

    The main function

    returns

    the dataframe containing all the anomalies

  16. final def synchronized[T0](arg0: ⇒ T0): T0
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  17. def toString(): String
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  18. final def wait(arg0: Long, arg1: Int): Unit
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  1. def finalize(): Unit
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