LocalPredictor

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

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3. final def ##(): Int

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

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14. val logger: Logger

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16. final def notify(): Unit

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17. final def notifyAll(): Unit

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18. def predict(dataSet: Array[Sample[T]]): Array[Activity]

19. def predict(dataSet: LocalDataSet[MiniBatch[T]]): Array[Activity]

20. def predictClass(dataSet: LocalDataSet[MiniBatch[T]]): Array[Int]

21. def predictClass(dataSet: Array[Sample[T]]): Array[Int]

22. def predictImage(imageFrame: LocalImageFrame, outputLayer: String = null, shareBuffer: Boolean = false, batchPerCore: Int = 4, predictKey: String = ImageFeature.predict): LocalImageFrame

    local model predict images, return imageFrame with predicted tensor

    local model predict images, return imageFrame with predicted tensor

    imageFrame

    imageFrame that contains images

    outputLayer

    if outputLayer is not null, the output of layer that matches outputLayer will be used as predicted output

    shareBuffer

    whether to share same memory for each batch predict results

    batchPerCore

    batch size per core, default is 4

    predictKey

    key to store predicted result

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

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25. final def wait(): Unit

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

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

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