List of viewDice() Examples

Examples of viewDice()

cern.colt.matrix.DoubleMatrix2D.viewDice()
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix. The view has both dimensions exchanged; what used to be columns become rows, what used to be rows become columns. In other words: view.get(row,column)==this.get(column,row). This is a zero-copy transposition, taking O(1), i.e. constant time. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. Use idioms like result = viewDice(A).copy() to generate an independent transposed matrix.
Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6 transpose ==> 3 x 2 matrix:
1, 4
2, 5
3, 6 transpose ==> 2 x 3 matrix:
1, 2, 3
4, 5, 6

@return a new dice view.
cern.colt.matrix.DoubleMatrix3D.viewDice()
Constructs and returns a new dice view; Swaps dimensions (axes); Example: 3 x 4 x 5 matrix --> 4 x 3 x 5 matrix. The view has dimensions exchanged; what used to be one axis is now another, in all desired permutations. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. @param axis0 the axis that shall become axis 0 (legal values 0..2). @param axis1 the axis that shall become axis 1 (legal values 0..2). @param axis2 the axis that shall become axis 2 (legal values 0..2). @return a new dice view. @throws IllegalArgumentException if some of the parameters are equal or not in range 0..2.
org.apache.mahout.math.matrix.DoubleMatrix2D.viewDice()
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix. The view has both dimensions exchanged; what used to be columns become rows, what used to be rows become columns. In other words: view.get(row,column)==this.get(column,row). This is a zero-copy transposition, taking O(1), i.e. constant time. The returned view is backed by this matrix, so changes in the returned view are reflected in this matrix, and vice-versa. Use idioms like result = viewDice(A).copy() to generate an independent transposed matrix.
Example:

2 x 3 matrix:
1, 2, 3
4, 5, 6 transpose ==> 3 x 2 matrix:
1, 4
2, 5
3, 6 transpose ==> 2 x 3 matrix:
1, 2, 3
4, 5, 6

@return a new dice view.

Examples of cern.colt.matrix.DoubleMatrix2D.viewDice()

  { 0       , -0.112952,-0.04932 ,-0.700157,0},
  { 0       , 0        ,0        ,0        ,0}
};
 
DoubleMatrix2D H = new DenseDoubleMatrix2D( vals ); // see values below...
System.out.println("\nHplus="+H.viewDice().zMult(H,null));


DoubleMatrix2D Hplus = Algebra.DEFAULT.inverse(H.viewDice().zMult( H,null )).zMult(H.viewDice(),null);
Hplus.assign(cern.jet.math.Functions.round(1.0E-10));
System.out.println("\nHplus="+Hplus);

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Examples of cern.colt.matrix.DoubleMatrix2D.viewDice()


System.out.println("\n\ninitializing...");
DoubleFactory2D factory = DoubleFactory2D.dense;
DoubleMatrix2D A = factory.make(values).viewDice();


System.out.println("\nA="+A.viewDice());
System.out.println("\ndist="+distance(A,norm).viewDice());
}
/**
 * Constructs and returns the distance matrix of the given matrix.
 * The distance matrix is a square, symmetric matrix consisting of nothing but distance coefficients.

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Examples of cern.colt.matrix.DoubleMatrix2D.viewDice()


System.out.println("\n\ninitializing...");
DoubleFactory2D factory = DoubleFactory2D.dense;
DoubleMatrix2D A = factory.make(values).viewDice();


System.out.println("\nA="+A.viewDice());
System.out.println("\ndist="+distance(A,norm).viewDice());
}
/**
 * Constructs and returns the distance matrix of the given matrix.
 * The distance matrix is a square, symmetric matrix consisting of nothing but distance coefficients.

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Examples of cern.colt.matrix.DoubleMatrix2D.viewDice()

  { 0       , -0.112952,-0.04932 ,-0.700157,0},
  { 0       , 0        ,0        ,0        ,0}
};
 
DoubleMatrix2D H = new DenseDoubleMatrix2D( vals ); // see values below...
System.out.println("\nHplus="+H.viewDice().zMult(H,null));


DoubleMatrix2D Hplus = Algebra.DEFAULT.inverse(H.viewDice().zMult( H,null )).zMult(H.viewDice(),null);
Hplus.assign(cern.jet.math.Functions.round(1.0E-10));
System.out.println("\nHplus="+Hplus);

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Examples of cern.colt.matrix.DoubleMatrix3D.viewDice()

  for (int j=densities.length; --j >= 0; ) colNames[j]=Double.toString(densities[j]);
  System.out.println("*");
  // show transposed
  String tmp = rowAxisName; rowAxisName = colAxisName; colAxisName = tmp;
  String[] tmp2 = rowNames; rowNames = colNames; colNames = tmp2;
  timings = timings.viewDice(0,2,1);
  System.out.println(new cern.colt.matrix.doublealgo.Formatter("%1.3G").toTitleString(timings,sliceNames,rowNames,colNames,sliceAxisName,rowAxisName,colAxisName,"Performance of "+title,aggr));
  /*
  title = "Speedup of dense over sparse";
  DoubleMatrix2D speedup = cern.colt.matrix.doublealgo.Transform.div(timings.viewSlice(0).copy(),timings.viewSlice(1));
  System.out.println("\n"+new cern.colt.matrix.doublealgo.Formatter("%1.3G").toTitleString(speedup,rowNames,colNames,rowAxisName,colAxisName,title,aggr));

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Examples of org.apache.mahout.math.matrix.DoubleMatrix2D.viewDice()

            }


            final DoubleMatrix2D phraseMatrix = TermDocumentMatrixBuilder
                .buildAlignedMatrix(context, phraseFeatureIndices, termWeighting);
            MatrixUtils.normalizeColumnL2(phraseMatrix, null);
            context.termPhraseMatrix = phraseMatrix.viewDice();
        }
    }


    /**
     * Calculates the boost we should apply to a stem, based on the field indices array.

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