PyMimic is a pure-Python implementation of linear prediction for real-valued random variables. Linear predictors may be used for curve fitting, kriging, DACE modelling, and Gaussian-process emulation.
Get started with PyMimic using the following brief guides.
getting_started/installation getting_started/intro getting_started/tutorial
Get to know PyMimic properly with the following tutorials.
tutorials/linear_prediction tutorials/kernels tutorials/basis tutorials/validation tutorials/optimization tutorials/design
Get the details of PyMimic's API using the reference documentation.
api_reference/pymimic
PyMimic is free software made available under the GNU General Public License. If you make use of it then please cite the paper 'Linear prediction and curve fitting: Gaussian-process emulation in theory and practice' (forthcoming) by Sylvy Anscombe and Amery Gration.