Adaptive: parallel active learning of mathematical functions.
adaptive is an open-source Python library designed to
make adaptive parallel function evaluation simple. With
just supply a function with its bounds, and it will be evaluated at the
“best” points in parameter space, rather than unecessarily computing all points on a dense grid.
With just a few lines of code you can evaluate functions on a computing cluster,
live-plot the data as it returns, and fine-tune the adaptive sampling algorithm.
adaptive shines on computations where each evaluation of the function
takes at least ≈100ms due to the overhead of picking potentially interesting points.