User Guide
eva 3.4.1
eva 3.4.1
  • Home and Support
  • What's new
  • Changelog
  • Using eva
    • Overview
      • Virtual Agents
      • Main Concepts of eva
      • Glossary
    • Developing virtual agents
      • Quick Start with eva
      • Dialog Flows
      • Dialog Cells
        • Intent Cells
        • Entity Cells
        • Answer Cells
        • Service Cells
        • Input Cells
        • Jump Cells
        • End Cells
        • Code Cells
        • Rule Cells
      • Training task
      • Export and import agents
      • Create virtual agents from templates
      • Create and manage users
    • Channels
      • Integrating Existing Channels
    • Testing Virtual Agents
      • Test a virtual agent
      • Automated Test
    • Natural Language
      • eva NLP
      • Training with eva NLP
      • Training with eva Automated Learning
      • Using other NLP engines
    • Analytics
      • External analytics platforms
    • Experience
      • Context Management
    • Advanced Options
      • Parameters
      • Intent Navigator
      • PII Data masking
    • How Tos
      • Creating variable answers with Code and Rule cells
      • Videos
  • for technicians
    • eva server Installation guide
    • API Guidelines
      • Conversation API
      • Cloner API
      • Webhooks
    • Supported/verified third-party software
    • Appendices
    • Data Extraction
Powered by GitBook
On this page
  1. Using eva
  2. Advanced Options

Parameters

With eva, you can create and manage variables in responses through the parameters

PreviousAdvanced OptionsNextIntent Navigator

Last updated 3 years ago

If you have to change eva’s behavior, you can create new system parameters. A parameter is a value that is added to configure software behavior. Here, a developer can insert any value to change how eva behaves.

To create a parameter, first click on the “create parameter” button. Then, a card will appear. Insert the parameter key, value and, if you desire, a description. Then, click “save”. You can enable and disable any parameter later.

In the parameter tab, you can also set the minimum confidence score for the NLP and Automated Learning.

In a NLP, this is a minimum level of certainty that an intent corresponds to what a user is saying. In the Automated Learning, it is the minimum level of certainty that the answer being delivered corresponds to what the user is asking. If the confidence score is below the value set, a not expected answer will be delivered. You can set the value by moving the bar.

Parameters' screen
Minimum confidence score