Probabilistic Inference in Noisy Time-Series
Project description
What is Pints?
PINTS (Probabilistic Inference on Noisy Time-Series) is a framework for optimisation and Bayesian inference on ODE models of noisy time-series, such as arise in electrochemistry and cardiac electrophysiology.
PINTS is described in this publication in JORS, and can be cited using the information given in our CITATION file. More information about PINTS papers can be found in the papers directory.
Using PINTS
PINTS can work with any model that implements the pints.ForwardModel interface. This has just two methods:
n_parameters() --> Returns the dimension of the parameter space.
simulate(parameters, times) --> Returns a vector of model evaluations at
the given times, using the given parameters
Experimental data sets in PINTS are defined simply as lists (or arrays) of times
and corresponding experimental values
.
If you have this kind of data, and if your model (or model wrapper) implements the two methods above, then you are ready to start using PINTS to infer parameter values using optimisation or sampling.
A brief example is shown below:
(Left) A noisy experimental time series and a computational forward model.
(Right) Example code for an optimisation problem.
The full code can be viewed here but a friendlier, more elaborate, introduction can be found on the examples page.
A graphical overview of the methods included in PINTS can be viewed here.
Examples and documentation
PINTS comes with a number of detailed examples, hosted here on github. In addition, there is a full API documentation, hosted on readthedocs.io.
Installing PINTS
You'll need the following requirements:
- Python 2.7 or Python 3.5+
- Python libraries:
cma matplotlib numpy scipy tabulate
These can easily be installed using pip
. To do this, first make sure you have the latest version of pip installed:
$ pip install --upgrade pip
Then navigate to the path where you downloaded PINTS to, and install both PINTS and its dependencies by typing:
$ pip install .
To install PINTS as a developer, use
$ pip install -e .[dev,docs]
To uninstall again, type
$ pip uninstall pints
Contributing to PINTS
If you'd like to help us develop PINTS by adding new methods, writing documentation, or fixing embarassing bugs, please have a look at these guidelines first.
License
PINTS is fully open source. For more information about its license, see LICENSE.
Get in touch
Questions, suggestions, or bug reports? Open an issue and let us know.
Alternatively, feel free to email us at pints at maillist.ox.ac.uk
.
Project details
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