arviz.from_emcee — ArviZ dev documentation (original) (raw)
arviz.from_emcee(sampler=None, var_names=None, slices=None, arg_names=None, arg_groups=None, blob_names=None, blob_groups=None, index_origin=None, coords=None, dims=None)[source]#
Convert emcee data into an InferenceData object.
For a usage example read Converting emcee objects to InferenceData
Parameters:
sampleremcee.EnsembleSampler
Fitted sampler from emcee.
var_nameslist of str, optional
A list of names for variables in the sampler
sliceslist of array_like or slice, optional
A list containing the indexes of each variable. Should only be used for multidimensional variables.
arg_nameslist of str, optional
A list of names for args in the sampler
arg_groupslist of str, optional
A list of the group names (either observed_data or constant_data) where args in the sampler are stored. If None, all args will be stored in observed data group.
blob_nameslist of str, optional
A list of names for blobs in the sampler. When None, blobs are omitted, independently of them being present in the sampler or not.
blob_groupslist of str, optional
A list of the groups where blob_names variables should be assigned respectively. If blob_names!=None and blob_groups is None, all variables are assigned to log_likelihood group
coordsdict of {strarray_like}, optional
Map of dimensions to coordinates
dimsdict of {strlist of str}, optional
Map variable names to their coordinates
Returns: