Pointer to the numeric table of size that represents the current data block.
While the input for
sumDensemethod can be an object of any class derived from
NumericTable, the input for
sumCSRmethod can only be an object of the
The floating-point type that the algorithm uses for intermediate computations. Can be
Available methods for computation of low order moments:
The procedure for setting initial parameters of the algorithm in the online processing mode.
By default, the algorithm does the following initialization:
Estimates to be computed by the algorithm:
Pointer to the numeric table that contains the number of rows processed so far.
By default, this result is an object of the
HomogenNumericTableclass, but you can define the result as an object of any class derived from
Partial sums of squares
Partial sums of squared differences from the means
Sums of squares
Sums of squared differences from the means
Estimates for the means
Estimates for the second order raw moments
Estimates for the variances
Estimates for the standard deviations
Estimates for the variations
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Notice revision #20110804