Audit event for Watson Machine Learning Accelerator

The following list describes Watson Machine Learning Accelerator auditable events that are generated and forwarded by the Audit Logging Service.

Application logs
  • wmla.applications.read: Query application
  • wmla.applications.log.read: Query application logs
  • wmla.applications.stop: Stop application
  • wmla.applications.delete: Delete history application
Batch training
  • wmla.training.batches.create: Create batch training
  • wmla.training.batches.batch.delete: Delete batch training
  • wmla.training.batches.delete: Delete batch trainings
  • wmla.training.batches.batch.read: Query a batch training
  • wmla.training.batches.read: Query batch trainings
  • wmla.training.batches.batch.stop: Stop a batch training
Resource plan
  • wmla.resourceplan.read: Query a resource plan
  • wmla.resourceplan.create: Create a resource plan
  • wmla.resourceplan.remove: Delete a resource plan
  • wmla.resourceplan.update: Update a resource plan
Hyperparameter optimization
  • wmla.hpo.create: Create a hyperparameter optimization job
  • wmla.hpo.stop: Stop a hyperparameter optimization job
  • wmla.hpo.restart: Restart a hyperparameter optimization job
  • wmla.hpo.experiment.read: Query a hyperparameter optimization job
  • wmla.hpo.read: Query hyperparameter optimization jobs
  • wmla.hpo.experiment.delete: Delete a hyperparameter optimization job
  • wmla.hpo.delete: Delete hyperparameter optimization jobs
Inference deployment
  • wmla.inference.auth.token: Authentication token for user logon with basic auth mode
  • wmla.inference.auth.token.inference: Authenticate to get a service token for inference
  • wmla.inference.inference: Input data for inference and return inference result
  • wmla.inference.deployment.upload: Upload model package files to deploy new model
  • wmla.inference.deployment.redeploy: Redeploy and publish a model package
  • wmla.inference.deployment.runtime.read: Get all available runtimes
  • wmla.inference.deployment.runtime.create: Create a custom runtime
  • wmla.inference.deployment.runtime.update: Update an existing runtime
  • wmla.inference.deployment.runtime.detail.read: Get runtime details
  • wmla.inference.deployment.runtime.detail.remove: Delete a runtime
Inference models
  • wmla.inference.models.read: Get all models
  • wmla.inference.models.create: Create a model
  • wmla.inference.models.extension.read: Get all model and extension information
  • wmla.inference.model.read: Get a model
  • wmla.inference.model.remove: Delete a model
  • wmla.inference.model.update: Update a specific model
  • wmla.inference.model.start: Start a deployed model
  • wmla.inference.model.stop: Stop a deployed model
  • wmla.inference.model.instance.read: Get a specific model instance information
  • wmla.inference.model.readme.read: Get readme information for a model
  • wmla.inference.model.readme.update: Update readme information for a model
  • wmla.inference.model.streaming.read: Get a streaming URL for a model
  • wmla.inference.model.appprofile.read: Get an application profile for a model
  • wmla.inference.model.appprofile.update: Update the application profile for a model