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Documentation Index

Fetch the complete documentation index at: https://handbook.fiddler.ai/llms.txt

Use this file to discover all available pages before exploring further.

  • Create a Project and Model: Explore our guide to creating a project and onboarding a model for observation. Learn how projects organize models and define a ModelSpec and Model Task.
  • Customizing Your Model Schema: Delve into our guide to customize your Model Schema with Fiddler. Learn how to adjust a column’s value range, possible values, and data type to match your model.
  • Updating Model Schema: Learn how to modify your model’s schema after initial creation by adding new columns using the Python client’s add_column() method. Add features, metadata, and tracking columns to existing models.
  • Task Types: Explore our guide to selecting a model task type when onboarding your ML models and LLM applications.
  • Custom Missing Values: Learn how you can customize a model column to assign values to be treated as missing or null data in order to handle a value or token that is inserted in place of null.