Showing the Prediction Process

predictionPredictMethod.java

public static String predict(DataRegression dataRegression) {
 try (OnlineLogisticRegression logisticRegression = new OnlineLogisticRegression()) {
   	FlightData flightData = new FlightData(dataRegression.data);
    logisticRegression.readFields(new DataInputStream(new ByteArrayInputStream(dataRegression.coefficients)));
   	double prediction = logisticRegression.classifyScalar(flightData.vector);
   	String arrivalPrediction = prediction > 0.5 ? "on-time" : "late";
   	return String.format("%s predicted to be %s", new Flight(dataRegression.data), arrivalPrediction);
   } catch (Exception e) {
   	LOG.error("Problems with predicting " + dataRegression.data, e);
  	return null;
   }
}