A test-driven framework for formally validating scientific models against data.
Project description
SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data
Concept
Documentation
Jupyter Tutorials
API Documentation
Installation
pip install sciunit
or
conda install -c conda-forge sciunit
Basic Usage
my_model = MyModel(**my_args) # Instantiate a class that wraps your model of interest.
my_test = MyTest(**my_params) # Instantiate a test that you write.
score = my_test.judge() # Runs the test and return a rich score containing test results and more.
Domain-specific libraries and information
NeuronUnit for neuron and ion channel physiology
See others here
Mailing List
There is a mailing list for announcements and discussion. Please join it if you are at all interested!
Contributors
- Rick Gerkin, Arizona State University (School of Life Science)
- Cyrus Omar, Carnegie Mellon University (Dept. of Computer Science)
Reproducible Research ID
RRID:SCR_014528
License
SciUnit is released under the permissive MIT license, requiring only attribution in derivative works. See the LICENSE file for terms.
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Source Distribution
sciunit-0.2.8.tar.gz
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