Metadata-Version: 2.1
Name: pyro-api
Version: 0.1.2
Summary: Generic API for dispatch to Pyro backends.
Home-page: https://github.com/pyro-ppl/pyro-api
Author: Uber AI Labs
Author-email: npradhan@uber.com
License: Apache License 2.0
Description: [![Build Status](https://travis-ci.com/pyro-ppl/pyro-api.svg?branch=master)](https://travis-ci.com/pyro-ppl/pyro-api)
        [![Latest Version](https://badge.fury.io/py/pyro-api.svg)](https://pypi.python.org/pypi/pyro-api)
        [![Documentation Status](https://readthedocs.org/projects/pyro-api/badge/?version=latest)](http://pyro-api.readthedocs.io/en/latest/?badge=master)
        
        # Pyro API
        
        Generic API for modeling and inference for dispatch to different Pyro backends.
        
        ----------------------------------------------------------------------------------------------------
        
        ## Testing
        
        For testing API compatibility on different backends, install pytest and other test dependencies that includes backends like [funsor](https://github.com/pyro-ppl/funsor) and [numpyro](https://github.com/pyro-ppl/numpyro) and run the test suite:
        
        ```
        pip install -e .[test]
        pytest -vs
        ```
        
        This library has no dependencies and can easily be installed for testing your particular Pyro backend
        implementation. You can use the following pattern and test your backend on models in the `pyroapi.testing`
        module.
        
        ```python
        from pyro_api.dispatch import pyro_backend
        from pyro_api.testing import MODELS
        
        
        # Register backend
        with pyro_backend(handlers='my_backend.handlers', 
                          distributions='my_backend.distributions',
                          ...):
                          
            # Test on models in pyro_api.testing
            for model in MODELS:
                f = MODELS[model]()
                model, model_args = f['model'], f.get('model_args', ())
                model(*model_args) 
                ... # further testing
        ``` 
        
Keywords: probabilistic machine learning bayesian statistics
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: dev
