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googleMlEngineModel

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:

Open in Cloud Shell

Example Usage - Ml Model Basic

/*Provider bindings are generated by running cdktf get.
See https://cdk.tf/provider-generation for more details.*/
import * as google from "./.gen/providers/google";
/*The following providers are missing schema information and might need manual adjustments to synthesize correctly: google.
For a more precise conversion please use the --provider flag in convert.*/
new google.mlEngineModel.MlEngineModel(this, "default", {
  description: "My model",
  name: "default",
  regions: ["us-central1"],
});
Open in Cloud Shell

Example Usage - Ml Model Full

/*Provider bindings are generated by running cdktf get.
See https://cdk.tf/provider-generation for more details.*/
import * as google from "./.gen/providers/google";
/*The following providers are missing schema information and might need manual adjustments to synthesize correctly: google.
For a more precise conversion please use the --provider flag in convert.*/
new google.mlEngineModel.MlEngineModel(this, "default", {
  description: "My model",
  labels: [
    {
      my_model: "foo",
    },
  ],
  name: "default",
  online_prediction_console_logging: true,
  online_prediction_logging: true,
  regions: ["us-central1"],
});

Argument Reference

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.

  • defaultVersion - (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

  • onlinePredictionLogging - (Optional) If true, online prediction access logs are sent to StackDriver Logging.

  • onlinePredictionConsoleLogging - (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.

  • project - (Optional) The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

The defaultVersion block supports:

  • name - (Required) The name specified for the version when it was created.

Attributes Reference

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}}

Timeouts

This resource provides the following Timeouts configuration options:

  • create - Default is 20 minutes.
  • delete - Default is 20 minutes.

Import

Model can be imported using any of these accepted formats:

$ 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}}

User Project Overrides

This resource supports User Project Overrides.