ConfusionMatrix

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. def apply(nameScope: String, defaultWeights: Option[tensors.Tensor[types.FLOAT32]] = None, numClasses: Int = 1, dataType: types.DataType = FLOAT64, variablesCollections: Set[Key[variables.Variable]] = Set(METRIC_VARIABLES), valuesCollections: Set[Key[Output]] = Set(METRIC_VALUES), updatesCollections: Set[Key[Output]] = Set(METRIC_UPDATES), resetsCollections: Set[Key[Op]] = Set(METRIC_RESETS)): ConfusionMatrix

   

   Creates a new confusion matrix metric.

   Creates a new confusion matrix metric.

   nameScope

   Name prefix for the created ops.

   defaultWeights

   Default weights with which all computed metric values are multiplied.

   numClasses

   Number of classes over which the confusion matrix is computed.

   dataType

   Data type for the confusion matrix.

   variablesCollections

   Graph collections in which to add the metric variables (for streaming metrics).

   valuesCollections

   Graph collections in which to add the metric values.

   updatesCollections

   Graph collections in which to add the metric updates.

   resetsCollections

   Graph collections in which to add the metric resets.

   returns

   New confusion matrix metric.

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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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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