snorkelflow.client.nodes.add_node_hierarchy
- snorkelflow.client.nodes.add_node_hierarchy(application, input_node_uid, hierarchy_config)
- Initiates a hierarchical classification DAG from an initial application. - Parameters- Parameters
- Returns- Returns
- Dict[str – Dictionary detailing nodes created in the DAG. Semantics of the output are as follows - 1. Initial_Model -> uid of the model node of the initial application 2. Label str -> Dictionary which details nodes created for the branch a. Label_Filter: uid of the LabelFilter node which segregates datapoints as per a particular label for downstream classification, b. Column_Filler: uid of the ColumnFiller node which replaces existing gts with UNK to allow new labels, c. Model: uid of the Model node which classifies these datapoints into child labels 3. Concat -> uid of the Concat node which consolidates all labels at the end 
- Return type- Return type
- Any]
 - Name - Type - Default - Info - application - Union[str, int]- The name or UID of the application. - input_node_uid - int- The input node from where hierarchy will begin. - hierarchy_config - Dict[str, Dict]- A dictionary config for the labels in the hierarchy. - Examples- >>> sf.add_node_hierarchy(
 >>> APP_NAME,
 >>> model_node_uid,
 >>> {
 >>> "1": {"1.1": {}, "1.2": {}},
 >>> "2": {"2.1": {}, "2.2": {}},
 >>> }
 >>> )
 {
 'nodes_output_dict':
 {'Initial_Model': {'Model': 525},
 '1': {'Label_Filter': 531, 'Column_Filler': 532, 'Model': 533},
 '2': {'Label_Filter': 536, 'Column_Filler': 537, 'Model': 538},
 '1.1': {'Label_Filter': 534},
 '1.2': {'Label_Filter': 535},
 '2.1': {'Label_Filter': 539},
 '2.2': {'Label_Filter': 540},
 'Concat': {'node_uid': 541, 'op_version_uid': 345}}
 }