Visible to Intel only — GUID: GUID-5E0212AD-4E76-4DA1-8FF2-DA263D1E3E1A
Visible to Intel only — GUID: GUID-5E0212AD-4E76-4DA1-8FF2-DA263D1E3E1A
Moments of Low Order
Moments are basic quantitative measures of data set characteristics such as location and dispersion. oneDAL computes the following low order characteristics:
minimums/maximums
sums
means
sums of squares
sums of squared differences from the means
second order raw moments
variances
standard deviations
variations
Details
Given a set X of n feature vectors of dimension p, the problem is to compute the following sample characteristics for each feature in the data set:
Statistic |
Definition |
---|---|
Minimum |
|
Maximum |
|
Sum |
|
Sum of squares |
|
Means |
|
Second order raw moment |
|
Sum of squared difference from the means |
|
Variance |
|
Standard deviation |
|
Variation coefficient |
Computation
The following computation modes are available:
Examples
C++ (CPU)
Batch Processing:
Online Processing:
Distributed Processing:
Python*
Batch Processing:
Online Processing:
https://github.com/intel/scikit-learn-intelex/tree/main/examples/daal4py/low_order_moms_streaming.py
Distributed Processing: