DistRegBuilder

class liesel.model.distreg.DistRegBuilder

Bases: GraphBuilder

A model builder for distributional regression models.

Methods

add(*args[, to_float32])	Adds nodes, variables or other graph builders to the graph.
add_groups(*groups[, to_float32])	Adds groups to the graph.
add_np_smooth(X, K, a, b, predictor[, name])	Adds a non-parametric smooth to the model builder.
add_p_smooth(X, m, s, predictor[, name])	Adds a parametric smooth to the model builder.
add_predictor(name, inverse_link)	Adds a predictor to the model builder.
add_response(response, distribution)	Adds the response to the model builder.
build_model([copy])	Builds a model from the graph.
convert_dtype(from_dtype, to_dtype)	Tries to convert the node values in the graph to the specified data type.
copy()	Returns a shallow copy of the graph builder.
count_node_names()	Counts the number of times each node name occurs in the graph.
count_var_names()	Counts the number of times each variable name occurs in the graph.
groups()	Collects the groups from all nodes and variables.
plot_nodes()	Plots all nodes in the graph.
plot_vars()	Plots all variables in the graph.
rename(pattern, replacement)	Renames all nodes and variables in the graph.
rename_nodes(pattern, replacement)	Renames all nodes in the graph.
rename_vars(pattern, replacement)	Renames all variables in the graph.
replace_node(old, new)	Replaces the old with the new node.
replace_var(old, new)	Replaces the old with the new variable.
transform(var[, bijector])	Transforms a variable by adding a new transformed variable as an input.
update()	Updates all nodes in the graph.

Attributes

log_lik_node	User-defined log-likelihood node, if there is one.
log_prior_node	User-defined log-prior node, if there is one.
log_prob_node	User-defined log-probability node, if there is one.
response	The response node.
nodes	The nodes that were explicitly added to the graph.
vars	The variables that were explicitly added to the graph.