org.tensorflow.spark.datasources.tfrecords.serde

Int64FeatureListEncoder

object Int64FeatureListEncoder extends FeatureListEncoder[Seq[Seq[Long]]]

Encode 2-dimensional Long array to TensorFlow "FeatureList" of type Int64List

Linear Supertypes
FeatureListEncoder[Seq[Seq[Long]]], Serializable, Serializable, AnyRef, Any
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  1. Int64FeatureListEncoder
  2. FeatureListEncoder
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  5. def clone(): AnyRef

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  6. def encode(values: Seq[Seq[Long]]): FeatureList

    Encodes input value as TensorFlow "FeatureList"

    Encodes input value as TensorFlow "FeatureList"

    Maps input value to a feature list of type Int64List, FloatList, or BytesList

    values

    Input values

    returns

    TensorFlow FeatureList

    Definition Classes
    Int64FeatureListEncoder → FeatureListEncoder

  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. def hashCode(): Int

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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Inherited from FeatureListEncoder[Seq[Seq[Long]]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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