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net.sansa_stack.ml.spark.outliers.vandalismdetection

Classifier

Related Doc: package vandalismdetection

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object Classifier extends Serializable

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  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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def decisionTreeClassifier(train: DataFrame, test: DataFrame, spark: SparkSession): String

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  7. def decisionTreeClassifierWithSplit(data: DataFrame): String

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  12. def gradientBoostedTree(train: DataFrame, test: DataFrame, spark: SparkSession): String

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  13. def gradientBoostedTreeWithSplit(data: DataFrame): String

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. def logisticRegrision(train: DataFrame, test: DataFrame, spark: SparkSession): String

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  17. def logisticRegrisionWithSplit(data: DataFrame): String

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  18. def multilayerPerceptronClassifier(train: DataFrame, test: DataFrame, spark: SparkSession): String

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  19. def multilayerPerceptronClassifierWithSplit(data: DataFrame): String

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  20. final def ne(arg0: AnyRef): Boolean

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. def randomForestClassifer(train: DataFrame, test: DataFrame, spark: SparkSession): String

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  24. def randomForestClassiferWithSplit(data: DataFrame): String

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  25. final def synchronized[T0](arg0: ⇒ T0): T0

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  26. def toString(): String

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  27. final def wait(): Unit

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  28. final def wait(arg0: Long, arg1: Int): Unit

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  29. final def wait(arg0: Long): Unit

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