Metadata-Version: 1.1
Name: inferpy
Version: 0.2.1rc2
Summary: Probabilistic modeling with Tensorflow made easy
Home-page: http://inferpy.readthedocs.io
Author: Andrés R. Masegosa, Rafael Cabañas
Author-email: andresma@ual.es, rcabanas@ual.es
License: Apache License 2.0
Download-URL: https://github.com/PGMLabSpain/InferPy/archive/0.2.1rc2.tar.gz
Description: InferPy: Deep Probabilistic Modeling Made Easy
        ==============================================
        
        InferPy is a high-level API for probabilistic modeling written 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 probablistic modeling, scalable inference
        and robust model validation.
        
        Use InferPy is you need a probabilistic programming language that:
        
        -   Allows easy and fast prototyping of hierarchical probabilistic
            models with a simple and user friendly API inspired by Keras.
        -   Defines probabilistic models with complex probabilistic constructs
            containing deep neural networks.
        -   Automatically creates computational efficient batched models without
            the need to deal with complex tensor operations.
        -   Run seamlessly on CPU and GPU by relying on Tensorflow.
        
        InferPy is to Edward what Keras is to Tensorflow
        ------------------------------------------------
        
        InferPy\'s aim is to be to Edward what Keras is to Tensorflow. Edward is
        a general purpose probabilistic programing language, like Tensorflow is
        a general computational engine. But this generality comes a at price.
        Edward\'s API is verbose and is based on distributions over Tensor
        objects, which are n-dimensional arrays with complex semantics
        operations. Probability distributions over Tensors are powerful
        abstractions but it is not easy to operate with them. InferPy\'s API is
        no so general like Edward\'s API but still covers a wide range of
        powerful and widely used probabilistic models, which can contain complex
        probability constructs containing deep neural networks.
        
        For more details about InferPy, check the online [documentation
        documentation](https://inferpy.readthedocs.io).
Keywords: machine learning statistics probabilistic programming tensorflow edward
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: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
