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=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:
- posterior
dict
, optional - posterior_predictive
dict
, optional - predictions: dict, optional
- sample_stats
dict
, optional - log_likelihood
dict
, optional For stats functions, log likelihood data should be stored here.
- prior
dict
, optional - prior_predictive
dict
, optional - observed_data
dict
, optional - constant_data
dict
, optional - predictions_constant_data: dict, optional
- warmup_posterior
dict
, optional - warmup_posterior_predictive
dict
, optional - warmup_predictions
dict
, optional - warmup_log_likelihood
dict
, optional - warmup_sample_stats
dict
, optional - save_warmupbool, optional
Save warmup iterations InferenceData object. If not defined, use default defined by the rcParams.
- index_origin
int
, optional - coords
dict
of {str
list
}, 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.
- dims
dict
of {str
list
ofstr
}, optional A mapping from variables to a list of coordinate names for the variable.
- pred_dims
dict
of {str
list
ofstr
}, optional A mapping from variables to a list of coordinate names for predictions.
- pred_coords
dict
of {str
list
}, optional A mapping from variables to a list of coordinate values for predictions.
- attrs
dict
, optional A dictionary containing attributes for different groups.
- kwargs
dict
, 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
- posterior
- Returns: