Python Model Builder - fit statistical models using algorithmic differentiation
PyMB uses algorithmic differentiation from CppAD to compute derivatives of objective functions, allowing users to quickly find optimal solutions to large, multidimensional statistical models.
PyMB is currently just a light wrapper around Template Model Builder, allowing users to run
TMB models directly from Python by transparently passing numpy and other numeric data into an embedded rpy2 instance.
TMB models are specified using C++ templates, requiring the user to be at least somewhat familiar with C++.
We intend to make a fully Pythonic modeling library that closely mirrors PyMC2 in syntax and ease of model specification, but uses either CppAD mixed or TensorFlow under the hood.
A demo iPython notebook can be found at [Examples/Linear Regression.ipynb](Examples/Linear Regression.ipynb) or an online version can be viewed here.
An example Dockerfile that will create a working PyMB install can be found here.
The following can be run to install PyMB directly from the GitHub repo:
pip install git+https://github.com/sadatnfs/PyMB.gitThe user must have a working installation of R (http://www.r-project.org/) and the TMB package (https://github.com/kaskr/adcomp), such that R is available on the PATH. Possibilities include setting up a conda environment with R installed and activating it, or installing R from source.
PyMB - Python Model Builder
Copyright (C) 2015 Kyle Foreman
Email: kforeman <at> post <dot> harvard <dot> edu
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.