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  • Introduction to Fiddler
    • Monitor, Analyze, and Protect your ML Models and Gen AI Applications
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    • LLM Application Monitoring & Protection
      • LLM-Based Metrics
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    • Optimize Your ML Models and LLMs with Fiddler's Comprehensive Monitoring
      • Alerts
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      • Class Imbalanced Data
      • Enhance ML and LLM Insights with Custom Metrics
      • Data Drift: Monitor Model Performance Changes with Fiddler's Insights
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      • Fiddler Query Language
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      • How to Effectively Use the Monitoring Chart UI
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    • Enhance Model Insights with Fiddler's Slice and Explain
      • Events Table in RCA
      • Feature Analytics Creation
      • Metric Card Creation
      • Performance Charts Creation
      • Performance Charts Visualization
    • Master AI Monitoring: Create, Customize, and Compare Dashboards
      • Creating Dashboards
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  • Technical Reference
    • Python Client API Reference
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      • Installation and Setup
      • Model Onboarding
        • Create a Project and Onboard a Model for Observation
        • Model Task Types
        • Customizing your Model Schema
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    • Comprehensive REST API Reference
      • Projects REST API Guide
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    • Fiddler Free Guardrails Documentation
  • Configuration Guide
    • Authentication & Authorization
      • Adding Users
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      • Mapping LDAP Groups & Users to Fiddler Teams
    • Application Settings
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  • History
    • Release Notes
    • Python Client History
    • Compatibility Matrix
    • Product Maturity Definitions
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On this page
  • Creating a Metric Card Chart
  • Support
  • Available Right-Side Controls
  • Available In-Chart Controls
  • Saving the Chart

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  1. Product Guide
  2. Enhance Model Insights with Fiddler's Slice and Explain

Metric Card Creation

Creating a Metric Card Chart

To create a Metric Card, follow these steps:

  • Navigate to the Charts tab in your Fiddler AI instance

  • Click on the Add Chart button on the top right

  • In the modal, select a project

  • Select Metric Card

Support

Metric card is supported for any model task type and for both production and pre-production data. Metric card allows displaying of Custom Metric, Data Drift, Data Integrity, Performance, Traffic, and Statistic metrics.

Available Right-Side Controls

Parameter
Value

Model

List of models in the project

Version

List of versions for the selected model

Environment

Production or Pre-Production

Dataset

Displayed only if Pre-Production is selected. List of pre-production env uploaded for the model version.

Metric

Selecting a metric across Custom Metrics, Data Drift, Data Integrity, Performance, Traffic, and Statistic to display as an aggregated number. Select up to 4 metrics to display on the chart.

Segment

- Selecting a saved segment - Defining an applied (on the fly) segment. This applied segment isn’t saved (unless specifically required by the user) and is applied for analysis purposes.

Available In-Chart Controls

Control
Model Task
Value

Time range selection

All

Selecting start time and end time or time label for production data. Default is last 30 days

Positive class threshold

Binary classification

For performance metrics, select a threshold to be applied for computation. Default is 0.5

Top-K

Ranking

For performance metrics, select a top-k value to be applied for computation. Default is 20.

Saving the Chart

Once you're satisfied with your metric card Chart, you can save it which allows it to be added to Dashboards and viewed individually from the Charts page.

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Last updated 3 months ago

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