OpVectorMetadata

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. val ColumnsKey: String

   

5. val HistoryKey: String

   

6. val SensitiveKey: String

   

7. def apply(name: String, metadata: Metadata): OpVectorMetadata

   

   Construct an OpVectorMetadata from its name and a Metadata, assuming that ColumnsKey and HistoryKey are present and conforms to an array of OpVectorColumnMetadata and Map[String, FeatureHistory]

   Construct an OpVectorMetadata from its name and a Metadata, assuming that ColumnsKey and HistoryKey are present and conforms to an array of OpVectorColumnMetadata and Map[String, FeatureHistory]

   name

   The name of the vector metadata

   metadata

   The metadata to build from

   returns

   The constructed vector metadata

8. def apply(name: String, columns: Array[OpVectorColumnMetadata], history: Map[String, FeatureHistory], sensitive: Map[String, Seq[SensitiveFeatureInformation]]): OpVectorMetadata

   

   Construct an OpVectorMetadata from a string representing its name, and an array of OpVectorColumnMetadata representing its columns.

   Construct an OpVectorMetadata from a string representing its name, and an array of OpVectorColumnMetadata representing its columns.

   name

   The name of the column the metadata represents

   columns

   The columns within the vectors

   history

   The history of the parent features

   sensitive

   Which columns have been marked as sensitive and related information

   returns

   The constructed vector metadata

9. def apply(name: String, columns: Array[OpVectorColumnMetadata], history: Map[String, FeatureHistory]): OpVectorMetadata

   

   Construct an OpVectorMetadata from a string representing its name, and an array of OpVectorColumnMetadata representing its columns.

   Construct an OpVectorMetadata from a string representing its name, and an array of OpVectorColumnMetadata representing its columns.

   name

   The name of the column the metadata represents

   columns

   The columns within the vectors

   history

   The history of the parent features

   returns

   The constructed vector metadata

10. def apply(field: StructField): OpVectorMetadata

    

    Construct an OpVectorMetadata from a StructField, assuming that ColumnsKey is present and conforms to an array of OpVectorColumnMetadata

    Construct an OpVectorMetadata from a StructField, assuming that ColumnsKey is present and conforms to an array of OpVectorColumnMetadata

    field

    The struct field to build from

    returns

    The constructed vector metadata

11. final def asInstanceOf[T0]: T0

    

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12. def clone(): AnyRef

    

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

    

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14. def equals(arg0: Any): Boolean

    

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15. def finalize(): Unit

    

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16. def flatten(outputName: String, vectors: Seq[OpVectorMetadata]): OpVectorMetadata

    

    Flatten a Seq[OpVectorMetadata] into one OpVectorMetadata by concatenating the vectors

    Flatten a Seq[OpVectorMetadata] into one OpVectorMetadata by concatenating the vectors

    outputName

    Name of the output flattened metadata

    vectors

    List of vector metadata to flatten

    returns

    Flattened metadata

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

    

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18. def hashCode(): Int

    

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19. final def isInstanceOf[T0]: Boolean

    

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

    

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21. final def notify(): Unit

    

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22. final def notifyAll(): Unit

    

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

    

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24. def toString(): String

    

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25. final def wait(): Unit

    

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

    

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

    

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