Examples of tv.floe.metronome.deeplearning.neuralnetwork.core.BaseMultiLayerNeuralNetworkVectorized.predict()

tv.floe.metronome.deeplearning.neuralnetwork.core.BaseMultiLayerNeuralNetworkVectorized.predict()
Label the probabilities of the input @param x the input to label @return a vector of probabilitiesgiven each label. This is typically of the form: [0.5, 0.5] or some other probability distribution summing to one

      
      DataSet inputs = iterator.next();


      Matrix in = inputs.getFirst();
      Matrix outcomes = inputs.getSecond();
      Matrix predicted = load.predict(in);
      eval.eval( outcomes, predicted );
      
    }

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