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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-05 11:19:16 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-05 12:07:37 +0000
commitb485aab7e71c1625cfc27e0f92c9509f42378458 (patch)
treeae9abe108601079d1679194de237c9a435ae5b55 /ml/dlib/examples/running_stats_ex.cpp
parentAdding upstream version 1.44.3. (diff)
downloadnetdata-b485aab7e71c1625cfc27e0f92c9509f42378458.tar.xz
netdata-b485aab7e71c1625cfc27e0f92c9509f42378458.zip
Adding upstream version 1.45.3+dfsg.upstream/1.45.3+dfsgupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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-// The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
-/*
- This is an example illustrating the use of the running_stats object from the dlib C++
- Library. It is a simple tool for computing basic statistics on a stream of numbers.
- In this example, we sample 100 points from the sinc function and then then compute the
- unbiased sample mean, variance, skewness, and excess kurtosis.
-
-*/
-#include <iostream>
-#include <vector>
-#include <dlib/statistics.h>
-
-using namespace std;
-using namespace dlib;
-
-// Here we define the sinc function so that we may generate sample data. We compute the mean,
-// variance, skewness, and excess kurtosis of this sample data.
-
-double sinc(double x)
-{
- if (x == 0)
- return 1;
- return sin(x)/x;
-}
-
-int main()
-{
- running_stats<double> rs;
-
- double tp1 = 0;
- double tp2 = 0;
-
- // We first generate the data and add it sequentially to our running_stats object. We
- // then print every fifth data point.
- for (int x = 1; x <= 100; x++)
- {
- tp1 = x/100.0;
- tp2 = sinc(pi*x/100.0);
- rs.add(tp2);
-
- if(x % 5 == 0)
- {
- cout << " x = " << tp1 << " sinc(x) = " << tp2 << endl;
- }
- }
-
- // Finally, we compute and print the mean, variance, skewness, and excess kurtosis of
- // our data.
-
- cout << endl;
- cout << "Mean: " << rs.mean() << endl;
- cout << "Variance: " << rs.variance() << endl;
- cout << "Skewness: " << rs.skewness() << endl;
- cout << "Excess Kurtosis " << rs.ex_kurtosis() << endl;
-
- return 0;
-}
-