Object/Class

org.apache.spark.ml

Serializer

Related Docs: class Serializer | package ml

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object Serializer

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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. val ContextClassLoader: ClassLoader

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  5. val Mirror: Mirror

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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 getConstructorTypes(ttag: scala.reflect.api.JavaUniverse.TypeTag[_]): List[scala.reflect.api.JavaUniverse.Type]

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  13. def getPath(baseDir: Path, i: Int): Path

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. def makeQualifiedPath(sc: SparkContext, path: String): Path

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def read[A](is: InputStream)(implicit ttag: scala.reflect.api.JavaUniverse.TypeTag[A]): A

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  21. def readFromHDFS[O](sc: SparkContext, path: Path)(implicit ttag: scala.reflect.api.JavaUniverse.TypeTag[O]): O

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    Loads the object from the given path.

    Loads the object from the given path.

    path

    The main path for model to load the object from.

    returns

    The loaded object.

  22. def saveMetadata(uid: String, ttag: ClassTag[_], metadataPath: String, sc: SparkContext, overwrite: Boolean): Unit

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    Saves metadata that is required by spark pipeline model in order to read a model.

    Saves metadata that is required by spark pipeline model in order to read a model.

    uid

    The id of the PipelineModel saved.

    metadataPath

    The metadata path.

    sc

    The spark context.

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

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  24. def toString(): String

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  25. def typeToSerializer[T](tpe: scala.reflect.api.JavaUniverse.Type, sparkSession: SparkSession): Serializer[T]

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  26. def typeToTypeTag[T](tpe: scala.reflect.api.JavaUniverse.Type): scala.reflect.api.JavaUniverse.TypeTag[T]

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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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  30. def write[A](o: A, outputStream: OutputStream)(implicit ttag: scala.reflect.api.JavaUniverse.TypeTag[A]): Unit

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  31. def writeMLWritable(stage: MLWritable, outputPath: Path, overwrite: Boolean): Unit

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  32. def writeToHDFS[O](sc: SparkContext, obj: O, outputPath: Path, overwrite: Boolean)(implicit ttag: scala.reflect.api.JavaUniverse.TypeTag[O]): Unit

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    Writes the object to the given path.

    Writes the object to the given path.

    obj

    The object to write.

    outputPath

    Where to write the object

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