google.cloud.gcp_mlengine_model – Creates a GCP Model

Note

This plugin is part of the google.cloud collection (version 1.0.2).

You might already have this collection installed if you are using the ansible package. It is not included in ansible-core. To check whether it is installed, run ansible-galaxy collection list.

To install it, use: ansible-galaxy collection install google.cloud.

To use it in a playbook, specify: google.cloud.gcp_mlengine_model.

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

Parameter

Comments

auth_kind

string / required

The type of credential used.

Choices:

  • application

  • machineaccount

  • serviceaccount

default_version

dictionary

The default version of the model. This version will be used to handle prediction requests that do not specify a version.

name

string / required

The name specified for the version when it was created.

description

string

The description specified for the model when it was created.

env_type

string

Specifies which Ansible environment you’re running this module within.

This should not be set unless you know what you’re doing.

This only alters the User Agent string for any API requests.

labels

dictionary

One or more labels that you can add, to organize your models.

name

string / required

The name specified for the model.

online_prediction_console_logging

boolean

If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging.

Choices:

  • no

  • yes

online_prediction_logging

boolean

If true, online prediction access logs are sent to StackDriver Logging.

Choices:

  • no

  • yes

project

string

The Google Cloud Platform project to use.

regions

list / elements=string

The list of regions where the model is going to be deployed.

Currently only one region per model is supported .

scopes

list / elements=string

Array of scopes to be used

service_account_contents

jsonarg

The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.

service_account_email

string

An optional service account email address if machineaccount is selected and the user does not wish to use the default email.

service_account_file

path

The path of a Service Account JSON file if serviceaccount is selected as type.

state

string

Whether the given object should exist in GCP

Choices:

  • present ← (default)

  • absent

Examples

- name: create a model
  google.cloud.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:

Key

Description

defaultVersion

complex

The default version of the model. This version will be used to handle prediction requests that do not specify a version.

Returned: success

name

string

The name specified for the version when it was created.

Returned: success

description

string

The description specified for the model when it was created.

Returned: success

labels

dictionary

One or more labels that you can add, to organize your models.

Returned: success

name

string

The name specified for the model.

Returned: success

onlinePredictionConsoleLogging

boolean

If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging.

Returned: success

onlinePredictionLogging

boolean

If true, online prediction access logs are sent to StackDriver Logging.

Returned: success

regions

list / elements=string

The list of regions where the model is going to be deployed.

Currently only one region per model is supported .

Returned: success

Authors

  • Google Inc. (@googlecloudplatform)