Package

com.microsoft.ml.spark

schema

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package schema

Visibility
  1. Public
  2. All

Type Members

  1. class CategoricalColumnInfo extends AnyRef

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    Extract categorical info from the DataFrame column

  2. class CategoricalMap[T] extends Serializable

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    A wrapper around level maps: Map[T -> Int] and Map[Int -> T] that converts the data to/from Spark Metadata in both MLib and AzreML formats.

    A wrapper around level maps: Map[T -> Int] and Map[Int -> T] that converts the data to/from Spark Metadata in both MLib and AzreML formats.

    T

    Input levels could be String, Double, Int, Long, Boolean

  3. case class ImageData(path: String, height: Int, width: Int, type: Int, bytes: Array[Byte]) extends Product with Serializable

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  4. abstract class SparkBindings[T] extends Serializable

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Value Members

  1. object BinaryFileSchema

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  2. object CategoricalColumnInfo

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    Utilities for getting categorical column info.

  3. object CategoricalUtilities

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  4. object DatasetExtensions

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    Contains methods for manipulating spark dataframes and datasets.

  5. object ImageData extends Serializable

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  6. object ImageSchema

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  7. object SchemaConstants

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    Contains constants used by modules for schema.

  8. object SparkSchema

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    Schema modification and information retrieval methods.

Members