Intent Entity Prediction

Description

This step predicts Intent Classification and Entity Extraction based on the model built in ‘Build Model for Intent Classification and Entity Extraction’ step.

Configurations

No.	Field Name	Description
1	Step name	Specify the name of the step. Step names should be unique within a workflow.
	Input Fields:
1	Predict using AE Model Version	Select the Python version you will use for building the model. Note: The Python version you select must be same as the version you have saved in the python folder or added to the environment variable.
2	Model Directory Name	Specify path of the model file built with ‘Build model for Intent Classification and Entity Extraction’ Step
3	Button: Browse	Click to browse for a Model file.
4	Input Data to Parse	Specify an input data (string) to be parsed for Intent Classification and Entity.
	Output Fields
5	Intent Field Name	Specify a fieldname to hold the Intent Field Name. The default value is intent.
6	Show intent confidence?	Enable checkbox to enable the Intent Confidence field below.
7	Intent Confidence Field Name	Specify a fieldname to hold Intent Confidence. The default value of the field name is intentConfidence.
8	Show Entities (in JSON format)?	Enable checkbox to enable the Entities field below.
9	Entities Field Name	Specify a fieldname to hold the Entities in JSON format. The default value of the field name is jsonEntities.
10	Show Intent Ranking (in JSON format)?	Enable checkbox to enable the Intent Ranking field below.
11	Intent Ranking Field Name	Specify a fieldname to hold the Intent Ranking in JSON format. All probable intents with confidence values (between 0 and 1), are generated in the JSON file. The default field name is jsonIntentRanking.