arviz.from_dict#
- arviz.from_dict(posterior=None, *, posterior_predictive=None, predictions=None, sample_stats=None, log_likelihood=None, prior=None, prior_predictive=None, sample_stats_prior=None, observed_data=None, constant_data=None, predictions_constant_data=None, warmup_posterior=None, warmup_posterior_predictive=None, warmup_predictions=None, warmup_log_likelihood=None, warmup_sample_stats=None, save_warmup=None, index_origin: Optional[int] = None, coords=None, dims=None, pred_dims=None, pred_coords=None, attrs=None, **kwargs)[source]#
Convert Dictionary data into an InferenceData object.
For a usage example read the Creating InferenceData section on from_dict
- Parameters
- posteriordict, optional
- posterior_predictivedict, optional
- predictions: dict, optional
- sample_statsdict, optional
- log_likelihooddict, optional
For stats functions, log likelihood data should be stored here.
- priordict, optional
- prior_predictivedict, optional
- observed_datadict, optional
- constant_datadict, optional
- predictions_constant_data: dict, optional
- warmup_posteriordict, optional
- warmup_posterior_predictivedict, optional
- warmup_predictionsdict, optional
- warmup_log_likelihooddict, optional
- warmup_sample_statsdict, optional
- save_warmupbool, optional
Save warmup iterations InferenceData object. If not defined, use default defined by the rcParams.
- index_originint, optional
- coordsdict of {strlist}, optional
A dictionary containing the values that are used as index. The key is the name of the dimension, the values are the index values.
- dimsdict of {strlist of str}, optional
A mapping from variables to a list of coordinate names for the variable.
- pred_dimsdict of {strlist of str}, optional
A mapping from variables to a list of coordinate names for predictions.
- pred_coordsdict of {strlist}, optional
A mapping from variables to a list of coordinate values for predictions.
- attrsdict, optional
A dictionary containing attributes for different groups.
- kwargsdict, optional
A dictionary containing group attrs. Accepted kwargs are:
posterior_attrs, posterior_warmup_attrs : attrs for posterior group
sample_stats_attrs, sample_stats_warmup_attrs : attrs for sample_stats group
log_likelihood_attrs, log_likelihood_warmup_attrs : attrs for log_likelihood group
posterior_predictive_attrs, posterior_predictive_warmup_attrs : attrs for posterior_predictive group
predictions_attrs, predictions_warmup_attrs : attrs for predictions group
prior_attrs : attrs for prior group
sample_stats_prior_attrs : attrs for sample_stats_prior group
prior_predictive_attrs : attrs for prior_predictive group
- Returns
- InferenceData