Examples of transpose()

Examples of org.apache.commons.math3.linear.Array2DRowRealMatrix.transpose()

139
140
141
142
143
144
145
146
147
148
149
        for (int v = 0; v < dim; v++) {
            final double[] evec = covMatDec.getEigenvector(v).toArray();
            covMatEigenvectors.setColumn(v, evec);
        }

        final RealMatrix tmpMatrix = covMatEigenvectors.transpose();

        // Scale each eigenvector by the square root of its eigenvalue.
        for (int row = 0; row < dim; row++) {
            final double factor = FastMath.sqrt(covMatEigenvalues[row]);
            for (int col = 0; col < dim; col++) {
View Full Code Here

Examples of org.apache.commons.math3.linear.Array2DRowRealMatrix.transpose()

233
234
235
236
237
238
239
240
241
242
243
            for (int i = 0; i < n; i++) {
                for (int j = 0; j < k; j++) {
                    final RealMatrix vec
                        = new Array2DRowRealMatrix(MathArrays.ebeSubtract(data[i], newMeans[j]));
                    final RealMatrix dataCov
                        = vec.multiply(vec.transpose()).scalarMultiply(gamma[i][j]);
                    newCovMats[j] = newCovMats[j].add(dataCov);
                }
            }

            // Converting to arrays for use by fitted model
View Full Code Here

Examples of org.apache.commons.math3.linear.Array2DRowRealMatrix.transpose()

140
141
142
143
144
145
146
147
148
149
150
        for (int v = 0; v < dim; v++) {
            final double[] evec = covMatDec.getEigenvector(v).toArray();
            covMatEigenvectors.setColumn(v, evec);
        }

        final RealMatrix tmpMatrix = covMatEigenvectors.transpose();

        // Scale each eigenvector by the square root of its eigenvalue.
        for (int row = 0; row < dim; row++) {
            final double factor = FastMath.sqrt(covMatEigenvalues[row]);
            for (int col = 0; col < dim; col++) {
View Full Code Here

Examples of org.apache.commons.math3.linear.RealMatrix.transpose()

141
142
143
144
145
146
147
148
149
150
151
            }
        }

        // Compute and return Hat matrix
        // No DME advertised - args valid if we get here
        return Q.multiply(augI).multiply(Q.transpose());
    }

    /**
     * <p>Returns the sum of squared deviations of Y from its mean.</p>
     *
 
View Full Code Here

Examples of org.apache.commons.math3.linear.RealMatrix.transpose()

268
269
270
271
272
273
274
275
276
    @Override
    protected RealMatrix calculateBetaVariance() {
        int p = getX().getColumnDimension();
        RealMatrix Raug = qr.getR().getSubMatrix(0, p - 1 , 0, p - 1);
        RealMatrix Rinv = new LUDecomposition(Raug).getSolver().getInverse();
        return Rinv.multiply(Rinv.transpose());
    }

}
View Full Code Here

Examples of org.apache.commons.math3.linear.RealMatrix.transpose()

112
113
114
115
116
117
118
119
120
121
122
                }
            }
        }

        // Compute and return Hat matrix
        return Q.multiply(augI).multiply(Q.transpose());
    }

    /**
     * <p>Returns the sum of squared deviations of Y from its mean.</p>
     *
 
View Full Code Here

Examples of org.apache.commons.math3.linear.RealMatrix.transpose()

224
225
226
227
228
229
230
231
232
    @Override
    protected RealMatrix calculateBetaVariance() {
        int p = getX().getColumnDimension();
        RealMatrix Raug = qr.getR().getSubMatrix(0, p - 1 , 0, p - 1);
        RealMatrix Rinv = new LUDecomposition(Raug).getSolver().getInverse();
        return Rinv.multiply(Rinv.transpose());
    }

}
View Full Code Here

Examples of org.apache.commons.math3.linear.RealMatrix.transpose()

142
143
144
145
146
147
148
149
150
151
152
            }
        }

        // Compute and return Hat matrix
        // No DME advertised - args valid if we get here
        return Q.multiply(augI).multiply(Q.transpose());
    }

    /**
     * <p>Returns the sum of squared deviations of Y from its mean.</p>
     *
 
View Full Code Here

Examples of org.apache.commons.math3.linear.RealMatrix.transpose()

269
270
271
272
273
274
275
276
277
    @Override
    protected RealMatrix calculateBetaVariance() {
        int p = getX().getColumnDimension();
        RealMatrix Raug = qr.getR().getSubMatrix(0, p - 1 , 0, p - 1);
        RealMatrix Rinv = new LUDecomposition(Raug).getSolver().getInverse();
        return Rinv.multiply(Rinv.transpose());
    }

}
View Full Code Here

Examples of org.apache.mahout.math.DenseMatrix.transpose()

68
69
70
71
72
73
74
75
76
77
78
    GivensThinSolver qrSolver = new GivensThinSolver(m.rowSize(), m.columnSize());
    qrSolver.solve(m);

    Matrix qtm = new DenseMatrix(qrSolver.getThinQtTilde());

    assertOrthonormality(qtm.transpose(), false, SVD_EPSILON);

    Matrix aClone = new DenseMatrix(qrSolver.getThinQtTilde()).transpose()
        .times(qrSolver.getRTilde());

    System.out.println("aclone : " + aClone);
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
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.