https://github.com/GPflow/GPflow
Revision 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC, committed by Artem Artemev on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow 2 using tensorflow probabilities.
Changes required a few changes across the rest of the codebase, outside of the notebook.

* small change to leaf printing function (fix bug, which was preventing printing of composite kernels)
* parameters and trainable_parameters now return tuples, not generators, like tf implementation of variables, trainable_variables
* tfp.distributions now work with different dtypes (by wrapping of parameters), so now play nicely with gpflow.
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Tip revision: 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow2.0 (#1100)
Tip revision: 24b5733
codecov.yml
coverage:
  status:
    project:
      default:
        target: 95%
        threshold: 1%
    patch:
      default:
        target: 97%
        threshold: 1%

ignore:
  - "*.py"
  - "tests/*.py"
  - "gpflow/ci_utils.py"
  - "gpflow/versions.py"
  - "doc/source/notebooks/*"
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