Kde
Kernel Density Estimation: accelerated, multi-dimensional, and adaptive bandwidth
Install / Use
/learn @icecube/KdeREADME
kde
Multi-dimenstional Kernel Density Estimation (KDE) including adaptive bandwidths and C and CUDA implementations for specific cases.
Authors
Sebastian Schoenen (schoenen@physik.rwth-aachen.de) and Martin Leuermann for the IceCube collaboration.
Installation Instructions
Download the software into directory <DIR>. There should be a subdirectory named "kde" within the <DIR> directory.
To install in a location independent of your system Python files, install via the following command:
$ pip install <DIR>[cuda] --user
where [cuda] is optional, ensuring support for GPU.
To install with references to the source code where it is downloaded (so that changes in the sourcecode are reflected immediately):
$ pip install -e <DIR>[cuda] --user
