QueryClassifier#

class squirro.lib.nlp.apps.query_processing.QueryClassifier(config)#

Bases: squirro.lib.nlp.steps.runtimes.onnx_runtime.ONNXRuntime

Step that uses ONNX model to infer the type of the query.

Input - the input field needs to be of type str.

Output - the output field is filled with data of type str.

Parameters
  • step (str, "app") – app

  • type (str, "query_processing") – query_processing

  • name (str, "query_classifier") – query_classifier

  • model (str, "svm-query-classifier") – Model name

  • (dict (output_mapping) – “user_terms_str”}): dictionary of input fields mapping: name of the model input to the document input field

  • {"input" – “user_terms_str”}): dictionary of input fields mapping: name of the model input to the document input field

  • (dict – “type”}): dictionary of output fields mapping: name of the model output to the document output field

  • {"output_label" – “type”}): dictionary of output fields mapping: name of the model output to the document output field

  • path (str, ".") – path

Methods Summary

pre_session_hook()

Download and extract the model if it's not existing.

Methods Documentation

pre_session_hook()#

Download and extract the model if it’s not existing.

Return type

None