Configure Predictive Intelligence

Configure solution definitions for Predictive Intelligence to train, test, and monitor solution definitions

Configuration

Use the following links to guide you as you set up your solution definition.

• Database View support for Predictive Intelligence
  Use database views to join two or more tables as input for your Machine Learning (ML) solution.
• Configuration tips for Predictive Intelligence
  If you encounter issues during your solution training and solution prediction, follow these suggested resolutions.
• Create a custom stopwords list
  Exclude common words you want the system to ignore during training and prediction.
• Create a word corpus
  Build a collection of words and phrases that functions as the vocabulary the system uses to compare your instance records based on their textual similarity. You can think of the word corpus as a dictionary that you want your machine-learning system to understand.
• Quick start tests for Predictive Intelligence
  Validate that Predictive Intelligence still works after you make any configuration change such as applying an upgrade or developing an application. Copy and customize these quick start tests to pass when using your instance-specific data.
• Activate solution version
  The system activates the most recent version of the solution when it completes training a solution, and only allows one solution version to be active at a time. However, you can activate any previously trained solution version you want Predictive Intelligence to use to make predictions.
• Export trained solutions to production
  Refine and test your ML solutions iteratively on a non-production instance, and then use update sets to export the changes to your production instance. This practice mitigates the risk of retraining solutions on your live production instance.
• Configuring advanced settings for your ML solutions
  Learn about advanced settings for your Predictive Intelligence machine learning (ML) solutions. Apply optional technology and algorithms for classification, clustering, similarity, and regression capabilities.