BuildModelFromDAG.__init__

BuildModelFromDAG.__init__(*, dag=FieldInfo(annotation=NoneType, required=True, description='DAG in DOT string format or A->B list'), df=FieldInfo(annotation=NoneType, required=True, description='DataFrame containing all DAG node columns'), target=FieldInfo(annotation=NoneType, required=True, description='Target node name present in DAG and df'), dims=FieldInfo(annotation=NoneType, required=True, description='Dims for observed/likelihood variables'), coords=FieldInfo(annotation=NoneType, required=True, description='Required coords mapping for dims and priors. All coord keys must exist as columns in df.'), model_config=FieldInfo(annotation=NoneType, required=False, default=None, description="Optional model config with Priors for 'intercept', 'slope' and 'likelihood'. Keys not supplied fall back to defaults."))