mouse_connectivity_models is a Python module for constructing and testing mesoscale connectivity models using data from the Allen Institute for Brain Science.
It provides models written in Scikit-Learn
estimator style, and has been used in the following publications:
- Python (>=2.7 or >= 3.4)
- scikit-learn (>= 0.19)
- allensdk (>= 0.14.4)
For running the examples Matplotlib >= 1.3.1 is required.
We have only tested and used this package on Linux.
You can check out the latest sources and install using
$ git clone https://github.com/AllenInstitute/mouse_connectivity_models.git $ cd mouse_connectivity_models $ pip install .
Level of Support
We are not currently supporting this code, but simply releasing it to the community AS IS but are not able to provide any guarantees of support. The community is welcome to submit issues, but you should not expect an active response.
Use pipenv to install the
dependencies. If you do not have
pipenv currently installed
$ pip install pipenv
$ pipenv install --dev
This will create a virtual environment on your machine for this project. To activate the virtual environment (to develop)
$ pipenv shell
After installation, you can launch the test suite from outside the source
mcmodels) using pytest
$ pytest mcmodels
Help and Support
The documentation that supports mouse_connectivity_models can be found at the Website.