> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fiddler.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Model Editor

> Step-by-step instructions for onboarding ML models using Fiddler's UI-based editor, from dataset upload to schema validation and publication.

## Model Onboarding Process

1. Access your project
   * Sign in to Fiddler and navigate to the Projects tab
   * Select an existing project or create a new one
2. Add a model
   * Select Add Model in the top-right corner
   * Choose a model task type: Not Set, Regression, Binary Classification, or Multi-Class Classification
3. Upload and analyze your dataset
   * Upload your CSV file
   * Review the automatically inferred schema
   * Verify flagged columns that need additional attention
4. Choose your onboarding approach
   * For immediate publication: Enter a model name and select Create Model
   * For draft mode: Select Save as Draft
5. Work with your draft (Draft Mode)
   * Access your draft from the Draft Models tab
   * Edit schema details as needed
   * Publish sample data to validate your configuration
   * When ready, publish the finalized model

For specific details and best practices see the [Model Schema Editing Guide](/observability/model-ui/model-schema-editing).