Dear Stack Exchange Experts,
I am trying to set up a class (multivariate distribution function) that stores boost distributions in a std::vector (marginal distribution functions). While this is possible using boost::variant (see my question: Boost: Store Pointers to Distributions in Vector), I also gave boost::any a try. The reason being that with variant I have to hard-code the potential types (marginal distributions) when setting up the variant and I wanted to avoid this.
While the different implemented distribution classes do not share a common parent class, there are functions such as boost::math::cdf or boost::math::pdf that can be applied to all distributions, and that I want to apply iterating over the std::vector.
Working with any I produced the code below (which is running fine), but now I have the problem that the function any_cdf needs to check the types.
While I circumvented hard-coding the types when setting up the vector (as for variant) I now need to hard-code the types in the any_cdf function (while the solution with variants can handle the application of the cdf function via a templated visitor function, and thus without any type specifications) which means lots of code to manage, lots of if statements...
However, the logic does not change at all (I cast the type, then apply the cdf function in all if statements), and I wouldn't really care how the function behaves if something other than a boost distribution gets stored in the list.
So is there any chance to have my cake and eat it, meaning not being forced to hard-code the casting type of the distribution in any_cdf (much like a templated visitor function for variants)?
Thanks so much for your help, H.
P.s. if this is not feasible, would I generally be better of with boost::any or boost::variant in this situation?
#include <boost/math/distributions.hpp>
#include <boost/any.hpp>
#include <vector>
#include <iostream>
#include <limits>
//template function to apply cdf
template<class T> T any_cdf(boost::any a, T &x){
//declare return value
T y;
//cast any with hardcoded types
if (a.type() == typeid(boost::math::normal_distribution<T>)){
y = boost::math::cdf(boost::any_cast< boost::math::normal_distribution<T> >(a),x);
} else if (a.type() == typeid(boost::math::students_t_distribution<T>)){
y = boost::math::cdf(boost::any_cast< boost::math::students_t_distribution<T> >(a), x);
} else {
//return NaN in case of failure or do something else (throw exception...)
y = std::numeric_limits<T>::quiet_NaN();
}
return(y);
}
int main (int, char*[])
{
//get distribution objects
boost::math::normal_distribution<double> s;
boost::math::students_t_distribution<double> t(1);
//use any to put just any kind of objects in one vector
std::vector<boost::any> vec_any;
vec_any.push_back(s);
vec_any.push_back(t);
//evaluation point and return value
double y;
double x = 1.96;
for (std::vector<boost::any>::const_iterator iter = vec_any.begin(); iter != vec_any.end(); ++iter){
y = any_cdf<double>(*iter,x);
std::cout << y << std::endl;
}
return 0;
}
Edit: Concerning the comments any seems not to be the easiest/best choice for the task at hand. However for completeness reasons a visitor like implementation for boost::any is discussed at: visitor pattern for boost::any