Fluid AI Frontier
  • Frontier
    • What is Frontier?
    • Creating your first project
    • Modules
  • Reports & Visualizations
    • Reporting and Visualizing data
      • Charts
      • Reports
  • Processing & Pipelines
    • What is a Pipeline?
    • Individual Pipelines
      • Configure a DB Connection
      • Fetch Data from DB
      • Merge 2 Files
      • Vectorize Your Data
      • Train an ML Model
      • Train AutoML Model
      • Build a Custom Pipeline
      • Push Data to Database
  • Data
    • What is a Data Module?
      • Input Files
        • Explanatory Data Analysis
      • Output Files
      • Database Connections
      • Query Configurations
  • Model Registry & Node Instance
    • What is Model Registry?
    • What is Node Instance
  • EXTRAS
    • Model Versioning
    • Load Notebook
    • Serve Pipeline
    • Scheduler
    • Alerts
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  1. Model Registry & Node Instance

What is Model Registry?

All of the models that have been trained in the frontier system are listed in the model registry, along with their performance metrics.

The following details of the models are showcased :

  • Model Name

  • Precision

  • Recalll

  • Accuracy

  • F-Score

  • Model Type

Functionalities to Know

  • The Get Model Serving API button can be used to serve the trained model on a REST API URL.

  • The Target Based Data Drift Report and Data Drift Report button can be used to download respective reports with target and within features.

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Last updated 3 years ago