Examples of etc.aloe.processes.LabelMapping.map()

etc.aloe.processes.LabelMapping.map()
Modifies the message set with predicted labels based on the provided labels and segments. The predictions are superimposed over the raw messages to produce the output. @param predictions Predictions produced by a model @param segments The unlabeled segments, whose messages will receive thenew labels. @return

        //Predict the labels
        Predictions predictions = this.model.getPredictions(examples);


        //Map back onto messages
        LabelMapping mapping = getMappingImpl();
        mapping.map(predictions, segmentSet);


        //Evaluate the model on labeled examples
        this.evaluationReport = new EvaluationReport("Unlabeled Data", falsePositiveCost, falseNegativeCost);
        this.evaluationReport.addPredictions(predictions);
    }

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                Predictions predictions = model.getPredictions(testingSet);
                EvaluationReport report = new EvaluationReport("Fold " + (foldIndex + 1), falsePositiveCost, falseNegativeCost);
                report.addPredictions(predictions);
                
                LabelMapping mapping = getMappingImpl();
                mapping.map(predictions, testingSegments);
                report.addLabeledTestData(testingSegments);
                
                evaluationReport.addPartial(report);
                int numCorrect = report.getTrueNegativeCount() + report.getTruePositiveCount();
                System.out.println("- Fold " + (foldIndex + 1) + " completed (" + numCorrect + "/" + testingSet.size() + " correct).");

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            //Predict the labels
            Predictions prediction = this.model.getPredictions(examples);


            //Map back onto messages
            LabelMapping mapping = getMappingImpl();
            mapping.map(prediction, segmentSet);




            //Print out the label
            System.out.println("Predicted label: " + message.getPredictedLabel());
            System.out.println();

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