Predictor

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

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

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6. final def asInstanceOf[T0]: T0

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

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9. def equals(arg0: Any): Boolean

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10. def finalize(): Unit

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

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15. final def notify(): Unit

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16. final def notifyAll(): Unit

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17. def predict(dataSet: RDD[Sample[T]], batchSize: Int = 1, shareBuffer: Boolean = false): RDD[Activity]

18. def predictClass(dataSet: RDD[Sample[T]], batchSize: Int = 1): RDD[Int]

19. def predictImage(imageFrame: DistributedImageFrame, outputLayer: String = null, shareBuffer: Boolean = false, batchPerPartition: Int = 4, predictKey: String = ImageFeature.predict): DistributedImageFrame

    model predict DistributedImageFrame, return imageFrame with predicted tensor

    model predict DistributedImageFrame, 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

    batchPerPartition

    batch size per partition, default is 4

    predictKey

    key to store predicted result

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

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21. def toString(): String

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22. final def wait(): Unit

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

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

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