semvec/pypi-packages huggingface dataset:
tensorflow-constrained-optimization 0.2
A library for performing constrained optimization in TensorFlow
License: Apache 2.0
Keywords: tensorflow machine learning optimizer constraint rate

*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).