The directory structure for finding the right notebooks.

/cpd_5.0/Predictive ML/configuration/batch: for the common configuration notebooks for batch predictive ML subscriptions in CPD 5.0.

/cpd_5.0/Predictive ML/configuration/online: for the training statistics notebooks for online predictive ML subscriptions in CPD 5.0.

/cpd_5.0/Predictive ML/samples: for the sample notebooks for predictive ML subscriptions in CPD 5.0.

/IBM Cloud/configuration/online: for the training statistics notebooks for online predictive ML subscriptions in SaaS.

/IBM Cloud/samples: for the sample notebooks for online predictive ML subscriptions in SaaS.

/WatsonX.Governance/OnPrem/GenAI/2.0/samples: for the sample notebooks for prompt subscriptions in WXG 2.0.

/WatsonX.Governance/Cloud/GenAI/samples: for the sample notebooks for prompt subscriptions in SaaS.

/WatsonX.Governance/OnPrem/GenAI/2.0/configuration: for the configuration notebooks for prompt subscriptions in WXG 2.0.

/WatsonX.Governance/Cloud/GenAI/configuration: for the configuration notebooks for prompt subscriptions in SaaS.

IBM Watson OpenScale tutorials

SDK DETAILS:

• IBM Watson Machine Learning
• IBM Watson Openscale

Additional resources:

• OpenScale Identity and Access management
• Assigning access to account management services
• Supported machine learning engines, frameworks and models

IBM Cloud

Tutorial 1: Working with Watson Machine Learning engine

• Step 1: Credit risk prediction model creation, deployment as web-service and monitoring using Watson OpenScale - notebook

Tutorial 2: Working with Azure Machine Learning Studio engine

• Step 1: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 3: Working with Azure Machine Learning Service engine

• Step 1: Model creation with Azure Service and deployment - notebook

• Step 2: Data mart creation, deployment wrapper for payload logging, model deployment monitoring and data analysis - notebook

Tutorial 4: Working with Amazon SageMaker Machine Learning engine

• Step 1: Creation and deployment of credit risk prediction model - notebook
• Step 2: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 5: Working with Image-based models

• Step 1: Watson OpenScale Explanation for Image Binary Classification Model- notebook

• Step 2: Watson OpenScale Explanation for Image Multiclass Classification Model- notebook

Tutorial 6: Working with Text-based models

• Step 1: Watson OpenScale Explanation for Text based Binary Classification Model- notebook

Tutorial 7: Working with Regression models

• Step 1: Watson OpenScale monitoring for Regression Model- notebook

Tutorial 8: Working with Custom Machine Learning Provider

• Step 1: Watson OpenScale Monitoring using Custom ML Provider - notebook

IBM Cloud Pak for Data

Tutorial 1. Working with Watson Machine Learning engine on CP4D

• Step 1: Credit risk prediction model creation, deployment as web-service and monitoring using Watson OpenScale - notebook

Tutorial 2. Working with IBM SPSS C&DS engine

• Step 1: Data mart creation, model deployment monitoring and data analysis - notebook

Tutorial 3. Working with Batch Support (Quality and Drift ONLY)

• Step 1: Generate common configuration for batch subscriptions - notebook

• Step 2: Analyze drifted transactions for batch subscriptions- notebook

Tutorial 4. Working with Batch Support using IBM Analytics Engine - notebook

Tutorial 5. Working with Batch Support using Remote Spark Engine - notebook

Model Risk Management, Governance, Adversarial Robustness Checks & Other Features

Watson OpenScale Model Risk Management

IBM Cloud

• Tutorial 1. OpenScale Model Risk Governance with OpenPages Integration on IBM Cloud - notebook
• Tutorial 2. OpenScale Model Risk Management on IBM Cloud - notebook
• Tutorial 3. OpenScale Model Metrics Mapping with Openpages - notebook

IBM Cloud Pak for Data

• Tutorial 1. OpenScale Model Risk Governance with OpenPages Integration on IBM Cloud Pak for Data - notebook
• Tutorial 2. OpenScale Model Risk Management on IBM Cloud Pak for Data - notebook

Watson OpenScale Indirect Bias detection

• Tutorial 1: Watson OpenScale indirect bias detection for protected features - notebook

• Tutorial 2: Watson OpenScale indirect bias and active debiasing on IBM Cloud Pak for data - notebook

Watson Openscale Adversarial attack detection on image models

• Tutorial: Adversarial Robustness Metrics for Image models - notebook

Miscellaneous

• Tutorial 1: Watson OpenScale Configure subscription monitors using training data statistics - notebook