Package org.encog.ml.fitting.linear

Examples of org.encog.ml.fitting.linear.LinearRegression

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  public void testLinear1() {
    double[][] INPUT = { {3}, {6}, {4}, {5} };
    double[][] IDEAL = { {0}, {-3}, {-1}, {-2} };
   
    MLDataSet data = new BasicMLDataSet(INPUT,IDEAL);
    LinearRegression lin = new LinearRegression(1);
    TrainLinearRegression train = new TrainLinearRegression(lin,data);
    train.iteration();
   
    System.out.println("w0 = " + Format.formatDouble(lin.getWeights()[0],2));
    System.out.println("w1 = " + Format.formatDouble(lin.getWeights()[1],2));
    System.out.println("Error: " + lin.calculateError(data));
  }
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  public void testLinear2() {
    double[][] INPUT = { {2}, {4}, {6}, {8} };
    double[][] IDEAL = { {2}, {5}, {5}, {8} };
   
    MLDataSet data = new BasicMLDataSet(INPUT,IDEAL);
    LinearRegression lin = new LinearRegression(1);
    TrainLinearRegression train = new TrainLinearRegression(lin,data);
    train.iteration();
    System.out.println("w0 = " + Format.formatDouble(lin.getWeights()[0],2));
    System.out.println("w1 = " + Format.formatDouble(lin.getWeights()[1],2));
    System.out.println("Error: " + lin.calculateError(data));
  }
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Related Classes of org.encog.ml.fitting.linear.LinearRegression

  • org.encog.EncogError
  • org.encog.ml.data.basic.BasicMLData
  • org.encog.ml.linear.TestLinearRegression
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