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karlnapf / Shogun_language.sho
Last active August 29, 2015 13:56
An abstract Shogun example language
// comment: strongly typed c++ kind of style here, but doesn't have to be
CCSVFile file=CCSVFile("filename");
RealFeatures features=RealFeatures(file);
float64 kernel_width=2;
GaussianKernel kernel=GaussianKernel(kernel_width);
SGMatrix<float64> K=kernel.get_kernel_matrix();
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 3 of the License, or
* (at your option) any later version.
*
* Written (W) 2012-2014 Heiko Strathmann
*/
#include <shogun/base/init.h>
@karlnapf
karlnapf / gist:9217074
Last active August 29, 2015 13:56
Ozone results, 1000 estimates per MCMC iteration, subsampling of size 400
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//g++ -Lbin -Isrc -isystem lib/boost_1.54.0 -isystem lib/eigen_3.2.0 main.cpp -o main -lstan
#include <iostream>
#include <stan/prob/distributions/univariate/continuous/normal.hpp>
#include <stan/prob/distributions/multivariate/continuous/multi_normal.hpp>
#include <Eigen/Dense>
using namespace std;
using namespace Eigen;
@karlnapf
karlnapf / gist:11199231
Created April 23, 2014 00:41
Lea's spike counts
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@karlnapf
karlnapf / data.R
Last active August 29, 2015 14:00
Independent GPs with shared hyperparameters
D <- 50
N <- 4
X <- c(0.0, 0.102040816327, 0.204081632653, 0.30612244898, 0.408163265306, 0.510204081633, 0.612244897959, 0.714285714286, 0.816326530612, 0.918367346939, 1.02040816327, 1.12244897959, 1.22448979592, 1.32653061224, 1.42857142857, 1.5306122449, 1.63265306122, 1.73469387755, 1.83673469388, 1.9387755102, 2.04081632653, 2.14285714286, 2.24489795918, 2.34693877551, 2.44897959184, 2.55102040816, 2.65306122449, 2.75510204082, 2.85714285714, 2.95918367347, 3.0612244898, 3.16326530612, 3.26530612245, 3.36734693878, 3.4693877551, 3.57142857143, 3.67346938776, 3.77551020408, 3.87755102041, 3.97959183673, 4.08163265306, 4.18367346939, 4.28571428571, 4.38775510204, 4.48979591837, 4.59183673469, 4.69387755102, 4.79591836735, 4.89795918367, 5.0)
Y <- structure(c(-0.118190107029, -0.241137950416, -0.158338925665, 0.0323221253652, -0.00841516338247, 0.136627658461, -0.0156792557672, 0.186771018614, -0.0463626116349, 0.213316801375, -0.331193280292, 0.415119283831, 0.275891309679, -0.0362488511903, -0.4177531091
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@karlnapf
karlnapf / gist:8ed7de163eed39e733da
Created August 19, 2014 03:12
custom random densities with PyMC3
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# A single Shogun program
This documents classififier_libsvm_probabilities.cpp.
Cool thing is we can use standard markdown to write the documentation while the source code can be executed. Another advantage is that not all source code is pasted at once. Rather, we can write little paragraphs in between, even including math.
## Include and initialisation
First, let's include the needed header files and initialise Shogun.
However, if this is not documented in this doxypage (one might not want to do that as it is standard), the code still is in the source file and thus can be executed and tested.
### Header includes

Welcome to Shogun-manual's documentation!

Contents: