» google_ml_engine_model

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.

» Example Usage - Ml Model Basic

resource "google_ml_engine_model" "default" {
  name        = "default"
  description = "My model"
  regions     = ["us-central1"]
}

» Example Usage - Ml Model Full

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
}

» 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.

  • 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.

  • 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.

» Timeouts

This resource provides the following Timeouts configuration options:

  • create - Default is 4 minutes.
  • delete - Default is 4 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.