Class/Object

com.microsoft.ml.spark.core.schema

CategoricalColumnInfo

Related Docs: object CategoricalColumnInfo | package schema

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class CategoricalColumnInfo extends AnyRef

Extract categorical info from the DataFrame column

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Instance Constructors

  1. new CategoricalColumnInfo(df: DataFrame, column: String)

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    df

    dataframe

    column

    column name

Value Members

  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. val dataType: DataType

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    Get the basic info: whether the column is categorical or not, actual type of the column, etc

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. val hasNullLevels: Boolean

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    Get the basic info: whether the column is categorical or not, actual type of the column, etc

  12. def hashCode(): Int

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  13. val isCategorical: Boolean

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    Get the basic info: whether the column is categorical or not, actual type of the column, etc

  14. final def isInstanceOf[T0]: Boolean

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  15. val isMML: Boolean

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    Get the basic info: whether the column is categorical or not, actual type of the column, etc

  16. val isOrdinal: Boolean

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    Get the basic info: whether the column is categorical or not, actual type of the column, etc

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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