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.
To get more information about Model, see:
resource "google_ml_engine_model" "default" {
name = "default"
description = "My model"
regions = ["us-central1"]
}
resource "google_ml_engine_model" "default" {
name = "default"
description = "My model"
regions = ["us-central1"]
labels = {
my_model = "foo"
}
online_prediction_logging = true
online_prediction_console_logging = true
}
The following arguments are supported:
name
-
(Required)
The name specified for the model.description
-
(Optional)
The description specified for the model when it was created.
default_version
-
(Optional)
The default version of the model. This version will be used to handle
prediction requests that do not specify a version.
Structure is documented below.
regions
-
(Optional)
The list of regions where the model is going to be deployed.
Currently only one region per model is supported
online_prediction_logging
-
(Optional)
If true, online prediction access logs are sent to StackDriver Logging.
online_prediction_console_logging
-
(Optional)
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
labels
-
(Optional)
One or more labels that you can add, to organize your models.
Note: This field is non-authoritative, and will only manage the labels present in your configuration.
Please refer to the field effective_labels
for all of the labels present on the resource.
project
- (Optional) The ID of the project in which the resource belongs.
If it is not provided, the provider project is used.
The default_version
block supports:
name
-
(Required)
The name specified for the version when it was created.In addition to the arguments listed above, the following computed attributes are exported:
id
- an identifier for the resource with format projects/{{project}}/models/{{name}}
terraform_labels
-
The combination of labels configured directly on the resource
and default labels configured on the provider.
effective_labels
-
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Terraform, other clients and services.
This resource provides the following Timeouts configuration options:
create
- Default is 20 minutes.update
- Default is 20 minutes.delete
- Default is 20 minutes.Model can be imported using any of these accepted formats:
projects/{{project}}/models/{{name}}
{{project}}/{{name}}
{{name}}
In Terraform v1.5.0 and later, use an import
block to import Model using one of the formats above. For example:
import {
id = "projects/{{project}}/models/{{name}}"
to = google_ml_engine_model.default
}
When using the terraform import
command, Model can be imported using one of the formats above. For example:
$ terraform import google_ml_engine_model.default projects/{{project}}/models/{{name}}
$ terraform import google_ml_engine_model.default {{project}}/{{name}}
$ terraform import google_ml_engine_model.default {{name}}
This resource supports User Project Overrides.