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2.3.3

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Testing and Monitoring

  • Creating Projects
  • Preparing Your Models and Datasets
    • Preprocessing Your Datasets
    • Defining a Model Interface
    • Uploading to Cloud Storage (Optional)
    • Registering Models, Datasets, and Predictions
    • Data Configuration
    • Model Configuration
    • Securing Model Supply Chain Risk with File Scanning
  • Validate Models with Stress Tests
  • Monitor Models with Continuous Tests
  • Configuring your Test Runs
  • Querying Test Run Results
  • Notifications and Alerts
  • Managing Model Governance
  • Integrating with MLOps

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  • Preparing Your Models and Datasets

Preparing Your Models and Datasets

In order to validate your models, you need to format your model and dataset files in a specific way.

Formatting your Models and Datasets

  • Preprocessing Your Datasets
    • Supported File Formats
    • Related Topics
  • Defining a Model Interface
    • Step 1: Specify model path
    • Step 2: Retrieve custom code
    • Step 3: Access the model
    • Step 4: Import / implement preprocessing function
    • Step 5: Implement a predict function
    • Step 6: Passing secrets to the model
    • Related Topics

Registering your Models and Datasets with Robust Intelligence

  • Uploading to Cloud Storage (Optional)
    • Uploading Data Files
    • Uploading Images
    • Uploading Model Directories
    • Related Topics
  • Registering Models, Datasets, and Predictions
    • Registering a Model Using the SDK
    • Registering a Dataset Using the SDK
    • Registering Predictions Using the SDK
    • Related Topics
  • Data Configuration
    • A) Connection Info
    • B) Data Parameters
    • Related Topics
  • Model Configuration
    • Template
    • Related Topics

Model Supply Chain Security

  • Securing Model Supply Chain Risk with File Scanning
    • Running a file scan on a registered HuggingFace model
    • Getting the results of a file scan
    • Understanding your file scan results
    • Related Topics
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