CoFI (Common Framework for Inference) is an open-source initiative for interfacing between generic inference algorithms and specific geoscience problems.
With a mission to bridge the gap between the domain expertise and the inference expertise, CoFI provides an interface across a wide range of inference algorithms from different sources, underpinned by a rich set of domain relevant examples.
This project and documentation are under initial development stage. Please feel free to contact us for feedback or issues!
From PyPI:
$ pip install cofi
Or alternatively, from conda-forge:
$ conda install -c conda-forge cofi
Check CoFI documentation - installation page for details on dependencies and setting up with virtual environments.
CoFI API has flexible ways of defining an inversion problem. For instance:
from cofi import BaseProblem
inv_problem = BaseProblem()
inv_problem.set_objective(my_objective_func)
inv_problem.set_initial_model(my_starting_point)
Once a problem is defined, cofi
can tell you what inference tools you can use based on what level of
information you've provided:
inv_problem.suggest_tools() # a tree will be printed
Run an inversion with these lines:
from cofi import InversionOptions, Inversion
inv_options = InversionOptions()
inv_options.set_solving_method("optimization")
inv_options.set_params(options={"maxiter":100})
inv = Inversion(inv_problem, inv_options)
result = inv.run()
print(result.success)
print(result.model)
And now an inversion is completed! Check out our example gallery and tutorial pages for more real-world or advanced use cases.
Interested in contributing? Please check out our contributor's guide.
This project is distributed under a 2-clause BSD licence. A copy of this licence is provided with distributions of the software.