Examples of org.apache.commons.math3.stat.regression.SimpleRegression.predict()

Package org.apache.commons.math3.stat.regression

Class org.apache.commons.math3.stat.regression.SimpleRegression

Examples of org.apache.commons.math3.stat.regression.SimpleRegression.predict()

org.apache.commons.math3.stat.regression.SimpleRegression.predict()
Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
predict(x) = intercept + slope * x

Preconditions:
- At least two observations (with at least two different x values) must have been added before invoking this method. If this method is invoked before a model can be estimated, Double,NaN is returned.
@param x input x value @return predicted y value

            final double[] state = filter.getStateEstimation();
            kalmanX.add(state[0]);
            kalmanY.add(state[2]);


            // update the kalman filter with the measurements
            filter.predict(controlVector);
            filter.correct(new double[] { mx, 0, my, 0 } );
        }


        chart.setXAxisTitle("Distance (m)");
        chart.setYAxisTitle("Height (m)");

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            measuredVoltageSeries.add(measuredVoltage);


            kalmanVoltageSeries.add(filter.getStateEstimation()[0]);
            covSeries.add(filter.getErrorCovariance()[0][0]);


            filter.predict();
            filter.correct(new double[] { measuredVoltage });
        }


        chart1.setYAxisTitle("Voltage");
        chart1.setXAxisTitle("Iteration");

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        if (cost == 0) break;
        regression.addData(Math.log(cost), m);


    }
    
    double d = regression.predict(Math.log(costThreshold));
    
    return qualifiedWage/d;
    
  }

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