mlpack is a scalable machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms, these algorithms as simple command-line programs and C++ classes which can then be integrated into larger-scale machine learning solutions.
Customer Reviews
Gunank S.
Advanced user of mlpackI started programming with C++. But when i want to start Machine Learning i thought i have to move to some other language like R, Python which have huge libraries for Machine Learning work. Which is also fast.
It is not rapid prototype kind of language. If we want to try different approaches for some work to see which one works best then we will use python. C++ is good for production systems when we already know which algorithm we want to use.
You will not use only MLpack for long term in Machine Learning because if you want to try different approaches for ML then you will surely need to switch to Python.
I have solved some real world problems using mlpack and this will be good if you want to stick with C++. It is amazing for production work and very fast. Python also provides some C++ wrappers.
