class LocalPredictor[T] extends Serializable
Predictor for local data
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- def predict(dataSet: Array[Sample[T]]): Array[Activity]
- def predict(dataSet: LocalDataSet[MiniBatch[T]]): Array[Activity]
- def predictClass(dataSet: LocalDataSet[MiniBatch[T]]): Array[Int]
- def predictClass(dataSet: Array[Sample[T]]): Array[Int]
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def
predictImage(imageFrame: LocalImageFrame, outputLayer: String = null, shareBuffer: Boolean = false, 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
- predictKey
key to store predicted result
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shutdownwill release all native resources. -
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- val workingToBatch: Array[Transformer[Sample[T], MiniBatch[T]]]