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

Examples of org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression

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                                        final double absoluteThreshold,
                                        final int maxIter) {
        super(relativeThreshold, absoluteThreshold);

        if (maxIter <= 0) {
            throw new NotStrictlyPositiveException(maxIter);
        }
        maxIterationCount = maxIter;
    }
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        if (optimizer == null ||
            generator == null) {
            throw new NullArgumentException();
        }
        if (starts < 1) {
            throw new NotStrictlyPositiveException(starts);
        }

        this.optimizer = optimizer;
        this.starts = starts;
        this.generator = generator;
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    protected BaseMultivariateVectorMultiStartOptimizer(final BaseMultivariateVectorOptimizer<FUNC> optimizer,
                                                           final int starts,
                                                           final RandomVectorGenerator generator) {
        if (optimizer == null ||
            generator == null) {
            throw new NullArgumentException();
        }
        if (starts < 1) {
            throw new NotStrictlyPositiveException(starts);
        }
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    protected BaseMultivariateMultiStartOptimizer(final BaseMultivariateOptimizer<FUNC> optimizer,
                                                      final int starts,
                                                      final RandomVectorGenerator generator) {
        if (optimizer == null ||
            generator == null) {
            throw new NullArgumentException();
        }
        if (starts < 1) {
            throw new NotStrictlyPositiveException(starts);
        }
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                                      int upper)
        throws NumberIsTooLargeException {
        super(rng);

        if (lower > upper) {
            throw new NumberIsTooLargeException(
                            LocalizedFormats.LOWER_BOUND_NOT_BELOW_UPPER_BOUND,
                            lower, upper, true);
        }
        this.lower = lower;
        this.upper = upper;
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     */
    public SearchInterval(double lo,
                          double hi,
                          double init) {
        if (lo >= hi) {
            throw new NumberIsTooLargeException(lo, hi, false);
        }
        if (init < lo ||
            init > hi) {
            throw new OutOfRangeException(init, lo, hi);
        }
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                                  double b)
        throws NumberIsTooLargeException, NumberIsTooSmallException {
        super(rng);

        if (a >= b) {
            throw new NumberIsTooLargeException(
                            LocalizedFormats.LOWER_BOUND_NOT_BELOW_UPPER_BOUND,
                            a, b, false);
        }
        if (c < a) {
            throw new NumberIsTooSmallException(
                    LocalizedFormats.NUMBER_TOO_SMALL, c, a, true);
        }
        if (c > b) {
            throw new NumberIsTooLargeException(
                    LocalizedFormats.NUMBER_TOO_LARGE, c, b, true);
        }

        this.a = a;
        this.c = c;
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     * @throws NumberIsTooSmallException if the number of observations
     * is &lt; 2
     */
    public double getResult() throws NumberIsTooSmallException {
        if (n < 2) {
            throw new NumberIsTooSmallException(LocalizedFormats.INSUFFICIENT_DIMENSION,
                                                n, 2, true);
        }
        if (biasCorrected) {
            return covarianceNumerator / (n - 1d);
        } else {
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            throw new NumberIsTooLargeException(
                            LocalizedFormats.LOWER_BOUND_NOT_BELOW_UPPER_BOUND,
                            a, b, false);
        }
        if (c < a) {
            throw new NumberIsTooSmallException(
                    LocalizedFormats.NUMBER_TOO_SMALL, c, a, true);
        }
        if (c > b) {
            throw new NumberIsTooLargeException(
                    LocalizedFormats.NUMBER_TOO_LARGE, c, b, true);
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                          double abs,
                          ConvergenceChecker<UnivariatePointValuePair> checker) {
        super(checker);

        if (rel < MIN_RELATIVE_TOLERANCE) {
            throw new NumberIsTooSmallException(rel, MIN_RELATIVE_TOLERANCE, true);
        }
        if (abs <= 0) {
            throw new NotStrictlyPositiveException(abs);
        }
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Related Classes of org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression

  • org.apache.commons.math3.analysis.differentiation.DerivativeStructure
  • org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
  • org.apache.commons.math3.analysis.function.HarmonicOscillator
  • org.apache.commons.math3.analysis.function.Sin
  • org.apache.commons.math3.analysis.function.Sinc
  • org.apache.commons.math3.analysis.MultivariateFunction
  • org.apache.commons.math3.analysis.QuinticFunction
  • org.apache.commons.math3.analysis.solvers.BrentSolver
  • org.apache.commons.math3.analysis.UnivariateFunction
  • org.apache.commons.math3.complex.Complex
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