Inferpy

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InferPy is a high-level API for defining probabilistic models containing deep neural networks in Python and capable of running on top of
Edward and TensorFlow. InferPy’s API is strongly inspired by Keras, and it has a focus on enabling flexible
data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation.


Changes:

- Documentation updated.
- Extras requirements modified: keyword `all` installs only CPU dependencies while `all-gpu` also those for GPUs are installed .

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InferPy is a high-level API for defining probabilistic models containing deep neural networks in Python and capable of running on top of
Edward and TensorFlow. InferPy’s API is strongly inspired by Keras, and it has a focus on enabling flexible
data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation.


Changes:

- Integration with Bayesian Layers from TFP.
- Keras models can be defined inside InferPy models.
- Inference with MCMC.
- Documentation updated.
- Fixed bugs 200, 201, 202.



**Release Date**: 12/02/2020
**Further Information**: [Documentation](http://inferpy.readthedocs.io/)

=======
InferPy is a high-level API for defining probabilistic models containing deep neural networks in Python and capable of running on top of
Edward and TensorFlow. InferPy’s API is strongly inspired by Keras and it has a focus on enabling flexible
data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation.


Changes:

- Bug detected at 195: false dependency is created between RVs which
are acenstors of a trainable layer.
- Documentation updated.



**Release Date**: 18/10/2019
**Further Information**: [Documentation](http://inferpy.readthedocs.io/)

=======
InferPy is a high-level API for defining probabilistic models containing deep neural networks in Python and capable of running on top of
Edward and TensorFlow. InferPy’s API is strongly inspired by Keras and it has a focus on enabling flexible
data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation.


Changes:

- Hotfix at 193, dependency changed of ``tensorflow-probability`` from ``>=0.5.0,<0.1.0``
to ``>=0.5.0,<0.8.0``.



**Release Date**: 10/10/2019
**Further Information**: [Documentation](http://inferpy.readthedocs.io/)

=======
InferPy is a high-level API for defining probabilistic models containing deep neural networks in Python and capable of running on top of
Edward and TensorFlow. InferPy’s API is strongly inspired by Keras and it has a focus on enabling flexible
data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation.


Changes:

- Function ``inf.MixtureGaussian`` encapsulating ``ed.MixtureSameFamily``.
- Documentation updated.



**Release Date**: 19/09/2019
**Further Information**: [Documentation](http://inferpy.readthedocs.io/)

=======
InferPy is a high-level API for defining probabilistic models containing deep neural networks in Python and capable of running on top of
Edward and TensorFlow. InferPy’s API is strongly inspired by Keras and it has a focus on enabling flexible
data processing, easy-to-code probabilistic modeling, scalable inference and robust model validation.


Changes:
- Data handling from memory and CSV files.
- Renamed inferpy.datasets to inferpy.data.
- Internal code enhancements.
- Documentation extended.
- Fixed some bugs.


**Release Date**: 29/08/2019
**Further Information**: [Documentation](http://inferpy.readthedocs.io/)