Object

org.apache.spark.examples.mllib

BinaryClassification

Related Doc: package mllib

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object BinaryClassification

An example app for binary classification. Run with

bin/run-example org.apache.spark.examples.mllib.BinaryClassification

A synthetic dataset is located at data/mllib/sample_binary_classification_data.txt. If you use it as a template to create your own app, please use spark-submit to submit your app.

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  1. case class Params(input: String = null, numIterations: Int = 100, stepSize: Double = 1.0, algorithm: Algorithm = LR, regType: RegType = L2, regParam: Double = 0.01) extends AbstractParams[Params] with Product with 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. object Algorithm extends Enumeration

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  5. object RegType extends Enumeration

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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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 hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def main(args: Array[String]): Unit

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. def run(params: Params): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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