Visible to Intel only — GUID: GUID-CA424910-2FB7-4AEA-B45B-BFBCF8D64217
Visible to Intel only — GUID: GUID-CA424910-2FB7-4AEA-B45B-BFBCF8D64217
Batch Processing
Algorithm Input
The low order moments algorithm accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.
Input ID |
Input |
---|---|
data |
Pointer to the numeric table of size to compute moments for. While the input for defaultDense, singlePassDense, or sumDense method can be an object of any class derived from NumericTable, the input for fastCSR, singlePassCSR, or sumCSR method can only be an object of the CSRNumericTable class. |
Algorithm Parameters
The low order moments algorithm has the following parameters:
Parameter |
Default Valude |
Description |
---|---|---|
algorithmFPType |
float |
The floating-point type that the algorithm uses for intermediate computations. Can be float or double. |
method |
defaultDense |
Available methods for computation of low order moments: For CPU:
For GPU:
|
estimatesToCompute |
estimatesAll |
Estimates to be computed by the algorithm:
|
Algorithm Output
The low order moments algorithm calculates the results described in the following table. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.
Result ID |
Characteristic |
---|---|
minimum |
Minimums |
maximum |
Maximums |
sum |
Sums |
sumSquares |
Sums of squares |
sumSquaresCentered |
Sums of squared differences from the means |
mean |
Estimates for the means |
secondOrderRawMoment |
Estimates for the second order raw moments |
variance |
Estimates for the variances |
standardDeviation |
Estimates for the standard deviations |
variation |
Estimates for the variations |
Product and Performance Information |
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Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201 |