arviz.from_pyro#
- arviz.from_pyro(posterior=None, *, prior=None, posterior_predictive=None, log_likelihood=None, predictions=None, constant_data=None, predictions_constant_data=None, coords=None, dims=None, pred_dims=None, num_chains=1)[source]#
Convert Pyro data into an InferenceData object.
For a usage example read the Creating InferenceData section on from_pyro
- Parameters
- posterior
pyro.infer.MCMC
Fitted MCMC object from Pyro
- prior: dict
Prior samples from a Pyro model
- posterior_predictive
dict
Posterior predictive samples for the posterior
- log_likelihoodbool, optional
Calculate and store pointwise log likelihood values. Defaults to the value of rcParam
data.log_likelihood
.- predictions: dict
Out of sample predictions
- constant_data: dict
Dictionary containing constant data variables mapped to their values.
- predictions_constant_data: dict
Constant data used for out-of-sample predictions.
- coords
dict
[str
] ->list
[str
] Map of dimensions to coordinates
- dims
dict
[str
] ->list
[str
] Map variable names to their coordinates
- pred_dims: dict
Dims for predictions data. Map variable names to their coordinates.
- num_chains: int
Number of chains used for sampling. Ignored if posterior is present.
- posterior