Classify

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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(inference: libcog.Field, batchSize: Int, margin: Float): Field

   

   Calculate the classification from an inference by taking the softmax of the inference and comparing the max output value to the second largest.

   Calculate the classification from an inference by taking the softmax of the inference and comparing the max output value to the second largest. If the max value is greater than the second by greater than the defined margin, then a one-hot code is emitted. Otherwise an the output for that example is all zeros, indicating a failure to classify above the defined margin.

   inference

   field to perform classification with

   batchSize

   number of examples in the batched field

   margin

   margin to use

   returns

   A one-hot classification code for each example if the margin is met

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

   

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9. def finalize(): Unit

   

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

    

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12. final def isInstanceOf[T0]: Boolean

    

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14. final def notify(): Unit

    

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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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