List of regression() Examples

Examples of regression()

weka.core.Matrix.regression()
Performs a (ridged) linear regression. @param y the dependent variable vector @param ridge the ridge parameter @return the coefficients @throws IllegalArgumentException if not successful

Examples of weka.core.Matrix.regression()

    // intercept separately so that it doesn't get affected
    // by the ridge constant.)
    double[] coefficients = new double[numAttributes + 1];
    if (numAttributes > 0) {
      double[] coeffsWithoutIntercept  =
  independent.regression(dependent, weights, m_Ridge);
      System.arraycopy(coeffsWithoutIntercept, 0, coefficients, 0,
           numAttributes);
    }
    coefficients[numAttributes] = m_ClassMean;

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Examples of weka.core.Matrix.regression()

    // intercept separately so that it doesn't get affected
    // by the ridge constant.)
    double[] coefficients = new double[numAttributes + 1];
    if (numAttributes > 0) {
      double[] coeffsWithoutIntercept  =
  independent.regression(dependent, weights, m_Ridge);
      System.arraycopy(coeffsWithoutIntercept, 0, coefficients, 0,
           numAttributes);
    }
    coefficients[numAttributes] = m_ClassMean;

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Examples of weka.core.Matrix.regression()

    // intercept separately so that it doesn't get affected
    // by the ridge constant.)
    double[] coefficients = new double[numAttributes + 1];
    if (numAttributes > 0) {
      double[] coeffsWithoutIntercept  =
  independent.regression(dependent, weights, m_Ridge);
      System.arraycopy(coeffsWithoutIntercept, 0, coefficients, 0,
           numAttributes);
    }
    coefficients[numAttributes] = m_ClassMean;

View Full Code Here

Examples of weka.core.Matrix.regression()

    // intercept separately so that it doesn't get affected
    // by the ridge constant.)
    double[] coefficients = new double[numAttributes + 1];
    if (numAttributes > 0) {
      double[] coeffsWithoutIntercept  =
  independent.regression(dependent, weights, m_Ridge);
      System.arraycopy(coeffsWithoutIntercept, 0, coefficients, 0,
           numAttributes);
    }
    coefficients[numAttributes] = m_ClassMean;

View Full Code Here

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