cc.factorie.model

TensorSet

trait TensorSet extends AnyRef

A collection of Tensors each associated with a Weights key.

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Abstract Value Members

  1. abstract def apply(key: Weights): Tensor

  2. abstract def copy: TensorSet

  3. abstract def keys: Iterable[Weights]

  4. abstract def tensors: Iterable[Tensor]

  5. abstract def update(key: Weights, value: Tensor): Unit

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. def *=(other: Double): Unit

  5. def +=(w: TensorSet): Unit

  6. def +=(w: TensorSet, f: Double): Unit

  7. def -(other: TensorSet): TensorSet

  8. def :=(other: TensorSet): Unit

  9. final def ==(arg0: AnyRef): Boolean

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  10. final def ==(arg0: Any): Boolean

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  11. final def asInstanceOf[T0]: T0

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  12. def clone(): AnyRef

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  13. def containsNaN(): Boolean

  14. def different(w: TensorSet, tolerance: Double): Boolean

  15. def dot(w: TensorSet): Double

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

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  17. def equals(arg0: Any): Boolean

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  18. def finalize(): Unit

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

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  20. def hashCode(): Int

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  21. final def isInstanceOf[T0]: Boolean

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  22. def length: Int

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

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  24. final def notify(): Unit

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  25. final def notifyAll(): Unit

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  26. def oneNorm: Double

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

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  28. def toArray: Array[Double]

  29. def toSeq: Iterable[(Weights, Tensor)]

  30. def toString(): String

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  31. def twoNorm: Double

  32. def twoNormSquared: Double

  33. final def wait(): Unit

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

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

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  36. def zero(): Unit

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