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Robust Intelligence
2.1.0-rc.3

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  • What is Robust Intelligence?
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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
  • 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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  • Organization Administration
  • Workspace Configuration
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Robust Intelligence
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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
  • 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

Registering your Models and Datasets with Robust Intelligence

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