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Probabilistic Inference on Noisy Time Series
PKPD models will likely need outputs from the same model with different likelihoods. E.g. one output follows a normal model; another follows a log-normal. At the moment, this sort of...
There could be use cases for caching at several levels, e.g. - `CachingForwardModel(model)`, checks `times` and `parameters` against a (limited size?) dict and returns cached results if possible. Not sure...
This is necessary for the function to work properly as it is designed. As part of this, I'll update the docstrings too. As part of this, it may be necessary...
I often seem to be getting an error when trying to run NUTS on the Goodwin-Oscillator example. The below code reproduces this. The failure only occurs when I use transformations...
Would allow us to get the fancy formatted name from the class, without requiring an instance
It's standard practice to randomly initialise start points for sampling. In most notebooks, we don't do this: we just set parameters deterministically. I'd like to change this so that, in...
See #1381 To-do: - [x] Update repo name - [ ] Update `pints.functionaltesting` module name to e.g. `pints.changepoint` or `pints.cptests` Anything else @pints-team/devs ?
Would have to report need of initial phase accordingly, as well as update the accepted hyperparameters. E.g. it might have its owner hyperparamters + the internal method's ones. This would...