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com.microsoft.ml.spark.core.schema

DatasetExtensions

Related Doc: package schema

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object DatasetExtensions

Contains methods for manipulating spark dataframes and datasets.

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  1. implicit final class MMLDataFrame extends AnyVal

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  8. def finalize(): Unit

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  9. def findUnusedColumnName(prefix: String, df: Dataset[_]): String

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  10. def findUnusedColumnName(prefix: String, schema: StructType): String

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  11. def findUnusedColumnName(prefix: String)(columnNames: Set[String]): String

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    Finds an unused column name given initial column name and a list of existing column names.

    Finds an unused column name given initial column name and a list of existing column names. The unused column name will be given prefix with a number appended to it, eg "testColumn_5". There will be an underline between the column name and the number appended.

    returns

    The unused column name.

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

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  13. def hashCode(): Int

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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