Googleapis Ml

Googleapis Ml is a connector for Google's Cloud Machine Learning API, which manages machine learning models, versions, and prediction jobs.

• Base URL: https://ml.googleapis.com
• Auth: OAuth 2.0 (user-delegated) — attach an InTouch oauth credential. Mint one with itcli.py /oauth <provider> (device-code) or /google-auth (Google); the server auto-refreshes the access token before each run, so the connector never handles or stores tokens.

Operations

• ml_projects_operations_get — GET /v1/{name} — Gets the latest state of a long-running operation. Clients can use this method t
• ml_projects_operations_list — GET /v1/{name}/operations — Lists operations that match the specified filter in the request. If the server d
• ml_projects_getconfig — GET /v1/{name}:getConfig — Get the service account information associated with your project. You need this
• ml_projects_jobs_list — GET /v1/{parent}/jobs — Lists the jobs in the project. If there are no jobs that match the request param
• ml_projects_locations_list — GET /v1/{parent}/locations — List all locations that provides at least one type of CMLE capability.
• ml_projects_models_list — GET /v1/{parent}/models — Lists the models in a project. Each project can contain multiple models, and eac

Inputs

• a linked oauth credential (no key inputs) — the server injects a fresh Authorization: Bearer from it
• operation — one of the operations above
• path parameters when an operation's path contains {...}
• query — optional JSON object of query params
• body — JSON object for create/update ops

Example

operation: ml_projects_operations_get
# (attach an 'oauth' credential to the task — no inline secrets)

Publishes

The keys a later task may reference as {{taskName.key}}. Referencing anything not listed here resolves to nothing at run time.

• error
• operation
• result
• status

Input Properties

Every property this tool accepts, from its own tool.iml.