List of dotProduct() Examples

Examples of dotProduct()

cc.mallet.types.AugmentableFeatureVector.dotProduct()
cc.mallet.types.FeatureVector.dotProduct()
cc.mallet.types.HashedSparseVector.dotProduct()
cc.mallet.types.IndexedSparseVector.dotProduct()
cc.mallet.types.SparseVector.dotProduct()
VECTOR OPERATIONS
edu.stanford.nlp.sempre.FeatureVector.dotProduct()
gov.sandia.cognition.math.matrix.Vector.dotProduct()
mikera.vectorz.AVector.dotProduct()
Returns the dot product of this vector with another vector The vectors must have the same length: if not the result is undefined @param v @return
mikera.vectorz.Vector3.dotProduct()
net.minecraft.src.Vec3D.dotProduct()
net.wigis.graph.dnv.utilities.Vector2D.dotProduct()
Dot product. @param scalar the scalar @return the vector2 d
net.wigis.graph.dnv.utilities.Vector3D.dotProduct()
Dot product. @param scalar the scalar @return the vector3 d
org.apache.commons.math.linear.RealVector.dotProduct()
Compute the dot product. @param v vector with which dot product should be computed @return the scalar dot product between instance and v @throws org.apache.commons.math.exception.DimensionMismatchException if {@code v} is not the same size as this vector.
org.apache.commons.math3.linear.ArrayRealVector.dotProduct()
{@inheritDoc}
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.
org.fnlp.ml.types.sv.ISparseVector.dotProduct()
点积 @param vector @return
org.jquantlib.math.matrixutilities.Array.dotProduct()
weka.core.pmml.VectorInstance.dotProduct()
Computes the dot product between this vector instance and the argument @param other the vector instance to perform the dot product with @return the dot product of this and the supplied vector instance @throws Exception if something goes wrong

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

     * @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

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

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


    }


}

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

     * @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

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

     * @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

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

     * @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

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

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


    }


}

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

     * @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

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

     * @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

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

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


    }


}

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

            }


            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));
            }
        };
    }
}

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