Skip to main content

Browse the archive

https://github.com/GPflow/GPflow
27 November 2021, 02:00:58 UTC
Revision 4a132712259277f3a312ebe81359cc687aeab6fd authored by st-- on 30 April 2018, 16:35:23 UTC, committed by Mark van der Wilk on 30 April 2018, 16:35:23 UTC 
Add Exponential distribution as prior (#717)
 
* Support exponential distribution as prior.

The exponential distribution here is parametrized using the rate
parameter lambda and always has its mode at 0.

* Reuse exponential density for prior distribution

Add transformation to test of exponential prior
This ensures that it is only evaluated on the positive domain

* Add sample method

* fix test

* fix test again

* more fixes

* add pragma: no cover to make codecov happy

* add sample tests

* sample test

* revert change to densities.exponential()

* fix

* pr comments

* fix test

* removing commented code
1 parent e59ff2f
Raw File
Tip revision: 4a132712259277f3a312ebe81359cc687aeab6fd authored by st-- on 30 April 2018, 16:35:23 UTC
Add Exponential distribution as prior (#717)
Tip revision: 4a13271
codecov.yml 
coverage:
  status:
    project:
      default:
        target: 97%
        threshold: 1%
    patch:
      default:
        target: 97%
        threshold: 1%

ignore:
  - "*.py"
  - "tests/*.py"
  - "gpflow/training/external_optimizer.py"
  - "doc/source/notebooks/*"
back to top