Metadata-Version: 2.1
Name: tensorflow_constrained_optimization
Version: 0.1
Summary: A library for performing constrained optimization in TensorFlow
Home-page: https://github.com/google-research/tensorflow_constrained_optimization
Author: Google Inc.
Author-email: no-reply@google.com
License: Apache 2.0
Description: *TensorFlow Constrained Optimization* (TFCO) is a library for optimizing
        inequality-constrained problems in TensorFlow.
        
        In the most general case, both the objective function and the constraints are
        represented as `Tensor`s, giving users the maximum amount of flexibility in
        specifying their optimization problems. Constructing these `Tensor`s can be
        cumbersome, so we also provide helper functions to make it easy to construct
        constrained optimization problems based on *rates*, i.e. proportions of the
        training data on which some event occurs (e.g. the error rate, true positive
        rate, recall, etc).
        
Keywords: tensorflow machine learning optimizer constraint rate
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
Provides-Extra: tensorflow-gpu
Provides-Extra: tensorflow
