class ClusterServingInferenceOperator extends RichMapFunction[List[(String, Activity)], List[(String, String)]]
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- new ClusterServingInferenceOperator(params: ClusterServingParams = new ClusterServingParams())
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- var inference: ClusterServingInference
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def
map(in: List[(String, Activity)]): List[(String, String)]
To inference input, user has to construct Activity first To construct Activity, use ClusterServingInput, e.g.
To inference input, user has to construct Activity first To construct Activity, use ClusterServingInput, e.g. A single dimension input [1,2,3] ClusterServingInput("my-input", Array(1,2,3)) A 2 dimension input [3,4], [5,6 ClusterServingInput("my-input", Array(1,2,3,4), Array(3,2)) A multiple input [1], 1,2],[3,4 Format is ClusterServingInput(name, Array(valueArray: Array[Float], ShapeArray: Array[Int])) ClusterServingInput("my-input", Array((Array(1), Array(1)), (Array(1,2,3,4), Array(2,2)) )) A String type input ["my", "input"] ClusterServingInput("my-string-input", Array("my", "input"))
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The List of input where each element is a tuple (name: String, input: Activity)
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- ClusterServingInferenceOperator → RichMapFunction → MapFunction
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def
open(parameters: Configuration): Unit
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- ClusterServingInferenceOperator → AbstractRichFunction → RichFunction
- var params: ClusterServingParams
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setRuntimeContext(arg0: RuntimeContext): Unit
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