org.tensorflow.spark.datasources.tfrecords.serde

FloatListFeatureEncoder

object FloatListFeatureEncoder extends FeatureEncoder[Seq[Float]]

Encode input value to FloatList

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FeatureEncoder[Seq[Float]], AnyRef, Any
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  1. FloatListFeatureEncoder
  2. FeatureEncoder
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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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    @throws( ... )

  6. def encode(value: Seq[Float]): Feature

    Encodes input value as TensorFlow "Feature"

    Encodes input value as TensorFlow "Feature"

    Maps input value to one of Int64List, FloatList, BytesList

    value

    Input value

    returns

    TensorFlow Feature

    Definition Classes
    FloatListFeatureEncoder → FeatureEncoder

  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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  12. final def isInstanceOf[T0]: Boolean

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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 FeatureEncoder[Seq[Float]]

Inherited from AnyRef

Inherited from Any

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