gcp_mlengine_model – Creates a GCP Model¶
New in version 2.9.
Synopsis¶
- Represents a machine learning solution.
- A model can have multiple versions, each of which is a deployed, trained model ready to receive prediction requests. The model itself is just a container.
Requirements¶
The below requirements are needed on the host that executes this module.
- python >= 2.6
- requests >= 2.18.4
- google-auth >= 1.3.0
Parameters¶
Notes¶
Note
- for authentication, you can set service_account_file using the c(gcp_service_account_file) env variable.
- for authentication, you can set service_account_contents using the c(GCP_SERVICE_ACCOUNT_CONTENTS) env variable.
- For authentication, you can set service_account_email using the
GCP_SERVICE_ACCOUNT_EMAIL
env variable. - For authentication, you can set auth_kind using the
GCP_AUTH_KIND
env variable. - For authentication, you can set scopes using the
GCP_SCOPES
env variable. - Environment variables values will only be used if the playbook values are not set.
- The service_account_email and service_account_file options are mutually exclusive.
Examples¶
- name: create a model
gcp_mlengine_model:
name: "{{ resource_name | replace('-', '_') }}"
description: My model
regions:
- us-central1
project: test_project
auth_kind: serviceaccount
service_account_file: "/tmp/auth.pem"
state: present
Return Values¶
Common return values are documented here, the following are the fields unique to this module:
Status¶
- This module is not guaranteed to have a backwards compatible interface. [preview]
- This module is maintained by the Ansible Community. [community]
Authors¶
- Google Inc. (@googlecloudplatform)
Hint
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