Examples of org.apache.commons.math3.linear.RealVector.dotProduct()

Class org.apache.commons.math3.linear.RealVector

Examples of org.apache.commons.math3.linear.RealVector.dotProduct()

org.apache.commons.math3.linear.RealVector.dotProduct()
Compute the dot product of this vector with {@code v}. @param v Vector with which dot product should be computed @return the scalar dot product between this instance and {@code v}. @throws DimensionMismatchException if {@code v} is not the same size as{@code this} vector.

     * @see #computeResiduals(double[])
     * @since 3.1
     */
    protected double computeCost(double[] residuals) {
        final ArrayRealVector r = new ArrayRealVector(residuals);
        return FastMath.sqrt(r.dotProduct(getWeight().operate(r)));
    }


    /**
     * Get the Root Mean Square value.
     * Get the Root Mean Square value, i.e. the root of the arithmetic

View Full Code Here

            }


            private double weightedResidual(final PointVectorValuePair pv) {
                final RealVector v = new ArrayRealVector(pv.getValueRef(), false);
                final RealVector r = target.subtract(v);
                return r.dotProduct(weight.operate(r));
            }
        };
    }
}

View Full Code Here

     * @since 2.2
     */
    public double calculateResidualSumOfSquares() {
        final RealVector residuals = calculateResiduals();
        // No advertised DME, args are valid
        return residuals.dotProduct(residuals);
    }


    /**
     * Returns the R-Squared statistic, defined by the formula <pre>
     * R<sup>2</sup> = 1 - SSR / SSTO

View Full Code Here

     * @since 2.2
     */
    @Override
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        double t = residuals.dotProduct(getOmegaInverse().operate(residuals));
        return t / (getX().getRowDimension() - getX().getColumnDimension());


    }


}

View Full Code Here

     * @return error variance estimate
     * @since 2.2
     */
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals) /
               (xMatrix.getRowDimension() - xMatrix.getColumnDimension());
    }


    /**
     * Calculates the residuals of multiple linear regression in matrix

View Full Code Here

     * @return error variance estimate
     * @since 2.2
     */
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals) /
               (xMatrix.getRowDimension() - xMatrix.getColumnDimension());
    }


    /**
     * Calculates the residuals of multiple linear regression in matrix

View Full Code Here

     * @return residual sum of squares
     * @since 2.2
     */
    public double calculateResidualSumOfSquares() {
        final RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals);
    }


    /**
     * Returns the R-Squared statistic, defined by the formula <pre>
     * R<sup>2</sup> = 1 - SSR / SSTO

View Full Code Here

     * @since 2.2
     */
    @Override
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        double t = residuals.dotProduct(getOmegaInverse().operate(residuals));
        return t / (getX().getRowDimension() - getX().getColumnDimension());


    }


}

View Full Code Here

     * @return error variance estimate
     * @since 2.2
     */
    protected double calculateErrorVariance() {
        RealVector residuals = calculateResiduals();
        return residuals.dotProduct(residuals) /
               (xMatrix.getRowDimension() - xMatrix.getColumnDimension());
    }


    /**
     * Calculates the residuals of multiple linear regression in matrix

View Full Code Here

     * @since 2.2
     */
    public double calculateResidualSumOfSquares() {
        final RealVector residuals = calculateResiduals();
        // No advertised DME, args are valid
        return residuals.dotProduct(residuals);
    }


    /**
     * Returns the R-Squared statistic, defined by the formula <pre>
     * R<sup>2</sup> = 1 - SSR / SSTO

View Full Code Here

0 1 2

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.