Metadata-Version: 2.1
Name: sciunit
Version: 0.2.2.3
Summary: A test-driven framework for formally validating scientific models against data.
Home-page: http://sciunit.scidash.org
Author: Rick Gerkin
Author-email: rgerkin@asu.edu
License: MIT
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        | ------------- | ------------- |
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        <img src="https://raw.githubusercontent.com/scidash/assets/master/logos/SciUnit/sci-unit-square-small.png" alt="SciUnit Logo" width="400px">
        
        # SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data
        
        ## Concept
        [The conference paper](https://github.com/cyrus-/papers/raw/master/sciunit-icse14/sciunit-icse14.pdf)
        
        ## Documentation
        [Chapter 1](https://github.com/scidash/sciunit/blob/master/docs/chapter1.ipynb) /
        [Chapter 2](https://github.com/scidash/sciunit/blob/master/docs/chapter2.ipynb) /
        [Chapter 3](https://github.com/scidash/sciunit/blob/master/docs/chapter3.ipynb) /
        
        ## Basic Usage
        ```python
        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](https://github.com/scidash/neuronunit) for neuron and ion channel physiology<br>
        See others [here](https://github.com/scidash/sciunit/network/dependents?dependent_type=REPOSITORY)
        
        ## Mailing List
        There is a [mailing list](https://groups.google.com/forum/?fromgroups#!forum/sciunit) for announcements and discussion.
        Please join it if you are at all interested!
        
        ## Contributors
         * [Rick Gerkin](http://rick.gerk.in), Arizona State University (School of Life Science)
         * [Cyrus Omar](http://cs.cmu.edu/~comar), Carnegie Mellon University (Dept. of Computer Science)
        
        ## Reproducible Research ID
        RRID:[SCR_014528](https://scicrunch.org/resources/Any/record/nlx_144509-1/3faed1d9-6579-5da6-b4b4-75a5077656bb/search?q=sciunit&l=sciunit)
        
        ## License
        SciUnit is released under the permissive [MIT license](https://opensource.org/licenses/MIT), requiring only attribution in derivative works. See the LICENSE file for terms.
        
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Description-Content-Type: text/markdown
