Cloudera

Cloudera Ml API

The Ml API from Cloudera — 59 operation(s) for ml.

GitHub OpenAPI

Operations 59

POST /api/v1/ml/addInstanceGroups Add new Cloudera AI workbench cluster instance groups #
POST /api/v1/ml/addInstanceGroupsMlServingApp Add instance group to an existing Cloudera AI Inference Service instance #
POST /api/v1/ml/backupWorkspace Backup a Cloudera AI workbench #
POST /api/v1/ml/createFileReplica Create file system replica #
POST /api/v1/ml/createMlServingApp Deploys Cloudera AI Inference Service into an existing Kubernetes cluster #
POST /api/v1/ml/createModelRegistry Creates a new model registry #
POST /api/v1/ml/createWorkspace Create a Cloudera AI workbench #
POST /api/v1/ml/deleteBackup Deletes a backup snapshot #
POST /api/v1/ml/deleteFileReplica Delete existing replication for project files #
POST /api/v1/ml/deleteInstanceGroup Deletes an instance group from the cluster #
POST /api/v1/ml/deleteInstanceGroupMlServingApp Deletes an instance group from a Cloudera AI Inference Service instance #
POST /api/v1/ml/deleteMlServingApp Deletes Cloudera AI Inference Service instance #
POST /api/v1/ml/deleteModelRegistry Deletes a model registry #
POST /api/v1/ml/deleteWorkspace Delete Cloudera AI workbench #
POST /api/v1/ml/describeMlServingApp Describe Cloudera AI Inference Service instance #
POST /api/v1/ml/describeModelRegistry Deprecated: Cloudera AI Model Registry is now deprecated #
POST /api/v1/ml/describeWorkspace Describe Cloudera AI workbench #
POST /api/v1/ml/describeWorkspaceBackup Describe backup snaphot of a workbench #
POST /api/v1/ml/failOverFileSystem Failover to replica file system #
POST /api/v1/ml/fetchAiRegistriesStorageConfig Fetch AI Registry storage configuration for a Cloudera AI Inference Service #
POST /api/v1/ml/getAuditEvents Gets all the events belong to a workbench crn #
POST /api/v1/ml/getKubeconfig ListWorkspaceAccess Cloudera AI workbench #
POST /api/v1/ml/getLatestModelRegistryVersion GetLatestModelRegistryVersion Cloudera AI Registry #
POST /api/v1/ml/getLatestWorkspaceVersion GetLatestWorkspaceVersion Cloudera AI workbench #
POST /api/v1/ml/getLogs Gets all the logs belong to a request id #
POST /api/v1/ml/getMlServingAppKubeconfig Return kubeconfig for a Cloudera AI Inference Service Kubernetes cluster #
POST /api/v1/ml/getModelRegistryKubeconfig GetModelRegistryKubeconfig returns kube config for model registry #
POST /api/v1/ml/grantMlServingAppAccess Grants admin access to a Cloudera AI Inference Service cluster #
POST /api/v1/ml/grantModelRegistryAccess GrantModelRegistryAccess Cloudera AI Model Registry #
POST /api/v1/ml/grantWorkspaceAccess GrantWorkspaceAccess Cloudera AI workbench #
POST /api/v1/ml/listInstanceTypeConfiguration List the instance configuration for a given instance type #
POST /api/v1/ml/listMlServingAppAccess List members that have Kubernetes access to a Cloudera AI Inference Service… #
POST /api/v1/ml/listMlServingApps List all Cloudera AI Inference Service instances #
POST /api/v1/ml/listModelRegistries Lists all model registries #
POST /api/v1/ml/listModelRegistryAccess ListWorkspaceAccess Cloudera AI Model Registry #
POST /api/v1/ml/listRelevantInstances List the instance types for Cloudera AI workbench creation that have the… #
POST /api/v1/ml/listWorkspaceAccess ListWorkspaceAccess Cloudera AI workbench #
POST /api/v1/ml/listWorkspaceBackups List backup snapshots of a workbench #
POST /api/v1/ml/listWorkspaces List Cloudera AI workbenches #
POST /api/v1/ml/modifyClusterInstanceGroup Modify Cloudera AI workbench cluster instance group #
POST /api/v1/ml/modifyClusterSecurity Modify Cloudera AI workbench cluster security #
POST /api/v1/ml/modifyMlServingApp Modify instance groups for a Cloudera AI Inference Service cluster #
POST /api/v1/ml/modifyWorkspaceLoadBalancer Modify Cloudera AI workbench loadbalancer #
POST /api/v1/ml/refreshAiInference Refresh AI Inference trust store #
POST /api/v1/ml/refreshAiRegistry Refreshes the AI Registry with the latest trust store certificates for the… #
POST /api/v1/ml/refreshModelRegistryConfigmap Refreshes the model registry configmap of the workbench #
POST /api/v1/ml/requestWorkflowCancellation Request a workflow cancellation #
POST /api/v1/ml/requestWorkflowRollback Request a workflow rollback #
POST /api/v1/ml/restoreWorkspace Restore a Cloudera AI workbench #
POST /api/v1/ml/resumeWorkspace Resume Cloudera AI workbench #
POST /api/v1/ml/revokeMlServingAppAccess Revokes access to a Cloudera AI Inference Service cluster #
POST /api/v1/ml/revokeModelRegistryAccess RevokeModelRegistryAccess Cloudera AI Model Registry #
POST /api/v1/ml/revokeWorkspaceAccess RevokeWorkspaceAccess Cloudera AI workbench #
POST /api/v1/ml/rollbackModelRegistryUpgrade Rollback a model registry upgrade. Restore prior model registry #
POST /api/v1/ml/suspendWorkspace Suspend Cloudera AI workbench #
POST /api/v1/ml/updateMlServingAppS3Creds Update S3 credentials for a Cloudera AI Inference Service #
POST /api/v1/ml/upgradeMlServingApp Upgrade a Cloudera AI Inference Service instance #
POST /api/v1/ml/upgradeModelRegistry Upgrade a model registry #
POST /api/v1/ml/upgradeWorkspace Upgrade Cloudera AI workbench #

Documentation

📖
Documentation
https://docs.cloudera.com/cdp-public-cloud/cloud/api/topics/mc-api-overview.html
📖
APIReference
https://cloudera.github.io/cdp-dev-docs/api-docs/

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/cloudera/refs/heads/main/openapi/cloudera-ml-api-openapi.yml

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OpenAPI Specification

cloudera-ml-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  version: 0.9.163
  title: Cloudera AI Ml API
  license:
    name: Apache 2.0
  description: Install and manage Cloudera AI applications.
  termsOfService: https://www.cloudera.com/legal/commercial-terms-and-conditions.html
tags:


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# Full source: https://raw.githubusercontent.com/api-evangelist/cloudera/refs/heads/main/openapi/cloudera-ml-api-openapi.yml