Models
Cloudera AI Project Lifecycle
Models
Models - Concepts and Terminology
Challenges with Machine Learning in production
Challenges with model deployment and serving
Challenges with model monitoring
Challenges with model governance
Model visibility
Model explainability, interpretability, and reproducibility
Model governance using Apache Atlas
Using Cloudera AI Registry
Registering and deploying models with Cloudera AI Registry
Creating a model using MLflow
Registering a model using the AI Registry user interface
Registering a model using MLflow SDK
Using MLflow SDK to register customized models
Viewing registered model information
Creating a new version of a registered model
Deploying a model from the AI Registry page
Deploying a model from the Cloudera AI Registry using APIv2
Deploying a model from the destination Project page
Viewing and synchronizing the Cloudera AI Registry instance
Deleting a model from Cloudera AI Registry
Disabling Cloudera AI Registry
Cloudera AI Registry standalone API
Prerequisites for Cloudera AI Registry standalone API
Authenticating clients for interacting with Cloudera AI Registry API
Role-based authorization
Using the REST Client
Cloudera AI Registry CLI Client
Known issues with Cloudera AI Registry standalone API
Troubleshooting issues with Cloudera AI Registry API
Cloudera AI Inference service cannot discover Cloudera AI Registry
Debugging the model import failure
Importing a Hugging Face Model (Technical Preview)
Creating and deploying a Model
Usage guidelines for deploying models with Cloudera AI
Known Issues and Limitations with Model Builds and Deployed Models
Request/Response Formats (JSON)
Testing calls to a Model
Workflows for active Models
Technical metrics for Models
Debugging issues with Models
Deleting a Model
Configuring model request payload size
Example - Model training and deployment (Iris)
Training the Model
Deploying the Model
Securing Models
Access Keys for Models
API Key for Models
Enabling authentication
Generating an API key
Managing API Keys
Model Governance
Enabling model governance
Registering training data lineage using a linking file
Viewing lineage for a model deployment in Atlas
Model Metrics
Enabling model metrics
Tracking model metrics without deploying a model
Tracking metrics for deployed models
Using Registered Models
Deploying a model from Registered Models
Viewing details of a registered model
Editing model visibility
Deleting a registered model version