![]() So if you already have an (older) version of TensorFlow installed, GPflow will pull in the latest TFP, which will be incompatible. Unfortunately, this is not specified in TFP's dependencies. NOTE: TensorFlow Probability releases are tightly coupled to TensorFlow, e.g. GPflow depends on both TensorFlow (TF, version ≥ 2.4) and TensorFlow Probability (TFP, version ≥ 0.12). If you have relevant skills and are interested in contributing then please do contact us (see "The GPflow community" section below). We are grateful to all contributors who have helped shape GPflow. GPflow would not be the same without the community. It is now actively maintained by (in alphabetical order) It was originally created by James Hensman and Alexander G. The online documentation (latest release)/ (develop) contains more details. ![]() GPflow builds on TensorFlow 2.4+ and TensorFlow Probability for running computations, which allows fast execution on GPUs. It implements modern Gaussian process inference for composable kernels and likelihoods. GPflow is a package for building Gaussian process models in Python. ![]()
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