• i. Copyright and Trademark Information
• 1. Welcome
• 2. Getting started
• 3. Machine learning workflow in Granta MI
  • 3.1. Key terminology in Granta MI
  • 3.2. What can I do with MI Machine Learning?
  • 3.3. About the Intellegens Alchemite engine
  • 3.4. How Granta MI converts data into a feature matrix
  • 3.5. Supported data and link types
  • 3.6. Access control in MI Machine Learning
• 4. Using the Training app
  • 4.1. Create a new model
    • 4.1.1. Add tables and attributes to a Matrix
    • 4.1.2. Add records to a Matrix
    • 4.1.3. Train and test a model
  • 4.2. Edit or retrain a model
  • 4.3. Delete a model
  • 4.4. Quick-start exercises: Training
• 5. Using the Visualize app
  • 5.1. View a correlation matrix
  • 5.2. Plot inputs and outputs on a 2D graph
  • 5.3. Compare outputs on a parallel coordinate plot
  • 5.4. Quick-start exercises: Visualize
• 6. Using the Optimize app
  • 6.1. Apply constraints and targets to a model 
  • 6.2. View results
  • 6.3. Quick-start exercises: Optimize
    • 6.3.1. Exercise 1: Optimize an AM build using machine learning
    • 6.3.2. Exercise 2: View Optimize results returned by the engine
• 7. More resources
• 8. Contact us