Object/Class

com.salesforce.op.utils.spark

OpVectorColumnMetadata

Related Docs: class OpVectorColumnMetadata | package spark

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object OpVectorColumnMetadata extends 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. val DescriptorValueKey: String

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  5. val GroupingKey: String

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  6. val IndicatorValueKey: String

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  7. val IndicesKey: String

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  8. val NullString: String

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  9. val OtherString: String

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  10. val ParentFeatureKey: String

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  11. val ParentFeatureTypeKey: String

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  12. def apply(parentFeatureName: Seq[String], parentFeatureType: Seq[String], grouping: Seq[String], indicatorValue: Option[String], descriptorValue: Option[String]): OpVectorColumnMetadata

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    Alternate constructor for OpVectorColumnMetadata cannot be in class because causes serialization issues

    Alternate constructor for OpVectorColumnMetadata cannot be in class because causes serialization issues

    parentFeatureName

    The name of the parent feature(s) for the column. Usually a column has one parent feature, but can have many (eg. in the case of multiple Text columns being vectorized using a shared hash space)

    parentFeatureType

    The type of the parent feature(s) for the column

    grouping

    The name of the group a column belongs to (usually the parent feature, but in the case of MapVectorizers, this includes keys in maps too). Every other vector column in the same vector that has this same indicator group should be mutually exclusive to this one.

    indicatorValue

    An indicator for a value for a binary column (null indicator or result of a pivot or whatever that value is), otherwise None

    descriptorValue

    A name for a value that is continuous (not a binary indicator) eg for geolocation (lat, lon, accuracy) or for dates that have been converted to a circular representation the time window and x or y coordinate, otherwise None

    returns

    new OpVectorColumnMetadata

  13. final def asInstanceOf[T0]: T0

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  14. def clone(): AnyRef

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

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  16. def equals(arg0: Any): Boolean

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  17. def finalize(): Unit

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  18. def fromMetadata(meta: Metadata): Array[OpVectorColumnMetadata]

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    Build an OpVectorColumnMetadata from Spark metadata representing a column.

    Build an OpVectorColumnMetadata from Spark metadata representing a column.

    meta

    The metadata to build column from

    returns

    The built OpVectorColumnMetadata

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

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  20. def hashCode(): Int

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  23. final def notify(): Unit

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  24. final def notifyAll(): Unit

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

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  26. def toString(): String

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  27. final def wait(): Unit

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