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Google Cloud v8.25.0 published on Thursday, Apr 3, 2025 by Pulumi
pulumi/pulumi-gcp

gcp.ml.EngineModel

Explore with Pulumi AI

Google Cloud v8.25.0 published on Thursday, Apr 3, 2025 by Pulumi
pulumi/pulumi-gcp

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:

Example Usage

Ml Model Basic

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const _default = new gcp.ml.EngineModel("default", {
    name: "default",
    description: "My model",
    regions: "us-central1",
});
Copy
import pulumi
import pulumi_gcp as gcp

default = gcp.ml.EngineModel("default",
    name="default",
    description="My model",
    regions="us-central1")
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package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/ml"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := ml.NewEngineModel(ctx, "default", &ml.EngineModelArgs{
			Name:        pulumi.String("default"),
			Description: pulumi.String("My model"),
			Regions:     pulumi.String("us-central1"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Copy
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var @default = new Gcp.ML.EngineModel("default", new()
    {
        Name = "default",
        Description = "My model",
        Regions = "us-central1",
    });

});
Copy
package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.ml.EngineModel;
import com.pulumi.gcp.ml.EngineModelArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var default_ = new EngineModel("default", EngineModelArgs.builder()
            .name("default")
            .description("My model")
            .regions("us-central1")
            .build());

    }
}
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resources:
  default:
    type: gcp:ml:EngineModel
    properties:
      name: default
      description: My model
      regions: us-central1
Copy

Ml Model Full

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const _default = new gcp.ml.EngineModel("default", {
    name: "default",
    description: "My model",
    regions: "us-central1",
    labels: {
        my_model: "foo",
    },
    onlinePredictionLogging: true,
    onlinePredictionConsoleLogging: true,
});
Copy
import pulumi
import pulumi_gcp as gcp

default = gcp.ml.EngineModel("default",
    name="default",
    description="My model",
    regions="us-central1",
    labels={
        "my_model": "foo",
    },
    online_prediction_logging=True,
    online_prediction_console_logging=True)
Copy
package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/ml"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := ml.NewEngineModel(ctx, "default", &ml.EngineModelArgs{
			Name:        pulumi.String("default"),
			Description: pulumi.String("My model"),
			Regions:     pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"my_model": pulumi.String("foo"),
			},
			OnlinePredictionLogging:        pulumi.Bool(true),
			OnlinePredictionConsoleLogging: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
Copy
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var @default = new Gcp.ML.EngineModel("default", new()
    {
        Name = "default",
        Description = "My model",
        Regions = "us-central1",
        Labels = 
        {
            { "my_model", "foo" },
        },
        OnlinePredictionLogging = true,
        OnlinePredictionConsoleLogging = true,
    });

});
Copy
package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.ml.EngineModel;
import com.pulumi.gcp.ml.EngineModelArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var default_ = new EngineModel("default", EngineModelArgs.builder()
            .name("default")
            .description("My model")
            .regions("us-central1")
            .labels(Map.of("my_model", "foo"))
            .onlinePredictionLogging(true)
            .onlinePredictionConsoleLogging(true)
            .build());

    }
}
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resources:
  default:
    type: gcp:ml:EngineModel
    properties:
      name: default
      description: My model
      regions: us-central1
      labels:
        my_model: foo
      onlinePredictionLogging: true
      onlinePredictionConsoleLogging: true
Copy

Create EngineModel Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new EngineModel(name: string, args?: EngineModelArgs, opts?: CustomResourceOptions);
@overload
def EngineModel(resource_name: str,
                args: Optional[EngineModelArgs] = None,
                opts: Optional[ResourceOptions] = None)

@overload
def EngineModel(resource_name: str,
                opts: Optional[ResourceOptions] = None,
                default_version: Optional[EngineModelDefaultVersionArgs] = None,
                description: Optional[str] = None,
                labels: Optional[Mapping[str, str]] = None,
                name: Optional[str] = None,
                online_prediction_console_logging: Optional[bool] = None,
                online_prediction_logging: Optional[bool] = None,
                project: Optional[str] = None,
                regions: Optional[str] = None)
func NewEngineModel(ctx *Context, name string, args *EngineModelArgs, opts ...ResourceOption) (*EngineModel, error)
public EngineModel(string name, EngineModelArgs? args = null, CustomResourceOptions? opts = null)
public EngineModel(String name, EngineModelArgs args)
public EngineModel(String name, EngineModelArgs args, CustomResourceOptions options)

type: gcp:ml:EngineModel
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args EngineModelArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args EngineModelArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args EngineModelArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args EngineModelArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. EngineModelArgs
The arguments to resource properties.
options CustomResourceOptions
Bag of options to control resource's behavior.

Constructor example

The following reference example uses placeholder values for all input properties.

var engineModelResource = new Gcp.ML.EngineModel("engineModelResource", new()
{
    DefaultVersion = new Gcp.ML.Inputs.EngineModelDefaultVersionArgs
    {
        Name = "string",
    },
    Description = "string",
    Labels = 
    {
        { "string", "string" },
    },
    Name = "string",
    OnlinePredictionConsoleLogging = false,
    OnlinePredictionLogging = false,
    Project = "string",
    Regions = "string",
});
Copy
example, err := ml.NewEngineModel(ctx, "engineModelResource", &ml.EngineModelArgs{
	DefaultVersion: &ml.EngineModelDefaultVersionArgs{
		Name: pulumi.String("string"),
	},
	Description: pulumi.String("string"),
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Name:                           pulumi.String("string"),
	OnlinePredictionConsoleLogging: pulumi.Bool(false),
	OnlinePredictionLogging:        pulumi.Bool(false),
	Project:                        pulumi.String("string"),
	Regions:                        pulumi.String("string"),
})
Copy
var engineModelResource = new EngineModel("engineModelResource", EngineModelArgs.builder()
    .defaultVersion(EngineModelDefaultVersionArgs.builder()
        .name("string")
        .build())
    .description("string")
    .labels(Map.of("string", "string"))
    .name("string")
    .onlinePredictionConsoleLogging(false)
    .onlinePredictionLogging(false)
    .project("string")
    .regions("string")
    .build());
Copy
engine_model_resource = gcp.ml.EngineModel("engineModelResource",
    default_version={
        "name": "string",
    },
    description="string",
    labels={
        "string": "string",
    },
    name="string",
    online_prediction_console_logging=False,
    online_prediction_logging=False,
    project="string",
    regions="string")
Copy
const engineModelResource = new gcp.ml.EngineModel("engineModelResource", {
    defaultVersion: {
        name: "string",
    },
    description: "string",
    labels: {
        string: "string",
    },
    name: "string",
    onlinePredictionConsoleLogging: false,
    onlinePredictionLogging: false,
    project: "string",
    regions: "string",
});
Copy
type: gcp:ml:EngineModel
properties:
    defaultVersion:
        name: string
    description: string
    labels:
        string: string
    name: string
    onlinePredictionConsoleLogging: false
    onlinePredictionLogging: false
    project: string
    regions: string
Copy

EngineModel Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The EngineModel resource accepts the following input properties:

DefaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersion
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.
Description Changes to this property will trigger replacement. string
The description specified for the model when it was created.
Labels Dictionary<string, string>
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.
Name Changes to this property will trigger replacement. string
The name specified for the model.

OnlinePredictionConsoleLogging Changes to this property will trigger replacement. bool
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging Changes to this property will trigger replacement. bool
If true, online prediction access logs are sent to StackDriver Logging.
Project Changes to this property will trigger replacement. string
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Regions Changes to this property will trigger replacement. string
The list of regions where the model is going to be deployed. Currently only one region per model is supported
DefaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersionArgs
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.
Description Changes to this property will trigger replacement. string
The description specified for the model when it was created.
Labels map[string]string
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.
Name Changes to this property will trigger replacement. string
The name specified for the model.

OnlinePredictionConsoleLogging Changes to this property will trigger replacement. bool
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging Changes to this property will trigger replacement. bool
If true, online prediction access logs are sent to StackDriver Logging.
Project Changes to this property will trigger replacement. string
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Regions Changes to this property will trigger replacement. string
The list of regions where the model is going to be deployed. Currently only one region per model is supported
defaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersion
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.
description Changes to this property will trigger replacement. String
The description specified for the model when it was created.
labels Map<String,String>
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.
name Changes to this property will trigger replacement. String
The name specified for the model.

onlinePredictionConsoleLogging Changes to this property will trigger replacement. Boolean
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging Changes to this property will trigger replacement. Boolean
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. String
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
regions Changes to this property will trigger replacement. String
The list of regions where the model is going to be deployed. Currently only one region per model is supported
defaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersion
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.
description Changes to this property will trigger replacement. string
The description specified for the model when it was created.
labels {[key: string]: string}
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.
name Changes to this property will trigger replacement. string
The name specified for the model.

onlinePredictionConsoleLogging Changes to this property will trigger replacement. boolean
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging Changes to this property will trigger replacement. boolean
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. string
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
regions Changes to this property will trigger replacement. string
The list of regions where the model is going to be deployed. Currently only one region per model is supported
default_version Changes to this property will trigger replacement. EngineModelDefaultVersionArgs
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.
description Changes to this property will trigger replacement. str
The description specified for the model when it was created.
labels Mapping[str, str]
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.
name Changes to this property will trigger replacement. str
The name specified for the model.

online_prediction_console_logging Changes to this property will trigger replacement. bool
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
online_prediction_logging Changes to this property will trigger replacement. bool
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. str
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
regions Changes to this property will trigger replacement. str
The list of regions where the model is going to be deployed. Currently only one region per model is supported
defaultVersion Changes to this property will trigger replacement. Property Map
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.
description Changes to this property will trigger replacement. String
The description specified for the model when it was created.
labels Map<String>
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.
name Changes to this property will trigger replacement. String
The name specified for the model.

onlinePredictionConsoleLogging Changes to this property will trigger replacement. Boolean
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging Changes to this property will trigger replacement. Boolean
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. String
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
regions Changes to this property will trigger replacement. String
The list of regions where the model is going to be deployed. Currently only one region per model is supported

Outputs

All input properties are implicitly available as output properties. Additionally, the EngineModel resource produces the following output properties:

EffectiveLabels Dictionary<string, string>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
Id string
The provider-assigned unique ID for this managed resource.
PulumiLabels Dictionary<string, string>
The combination of labels configured directly on the resource and default labels configured on the provider.
EffectiveLabels map[string]string
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
Id string
The provider-assigned unique ID for this managed resource.
PulumiLabels map[string]string
The combination of labels configured directly on the resource and default labels configured on the provider.
effectiveLabels Map<String,String>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
id String
The provider-assigned unique ID for this managed resource.
pulumiLabels Map<String,String>
The combination of labels configured directly on the resource and default labels configured on the provider.
effectiveLabels {[key: string]: string}
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
id string
The provider-assigned unique ID for this managed resource.
pulumiLabels {[key: string]: string}
The combination of labels configured directly on the resource and default labels configured on the provider.
effective_labels Mapping[str, str]
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
id str
The provider-assigned unique ID for this managed resource.
pulumi_labels Mapping[str, str]
The combination of labels configured directly on the resource and default labels configured on the provider.
effectiveLabels Map<String>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
id String
The provider-assigned unique ID for this managed resource.
pulumiLabels Map<String>
The combination of labels configured directly on the resource and default labels configured on the provider.

Look up Existing EngineModel Resource

Get an existing EngineModel resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: EngineModelState, opts?: CustomResourceOptions): EngineModel
@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        default_version: Optional[EngineModelDefaultVersionArgs] = None,
        description: Optional[str] = None,
        effective_labels: Optional[Mapping[str, str]] = None,
        labels: Optional[Mapping[str, str]] = None,
        name: Optional[str] = None,
        online_prediction_console_logging: Optional[bool] = None,
        online_prediction_logging: Optional[bool] = None,
        project: Optional[str] = None,
        pulumi_labels: Optional[Mapping[str, str]] = None,
        regions: Optional[str] = None) -> EngineModel
func GetEngineModel(ctx *Context, name string, id IDInput, state *EngineModelState, opts ...ResourceOption) (*EngineModel, error)
public static EngineModel Get(string name, Input<string> id, EngineModelState? state, CustomResourceOptions? opts = null)
public static EngineModel get(String name, Output<String> id, EngineModelState state, CustomResourceOptions options)
resources:  _:    type: gcp:ml:EngineModel    get:      id: ${id}
name This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
resource_name This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
name This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
name This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
name This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
state
Any extra arguments used during the lookup.
opts
A bag of options that control this resource's behavior.
The following state arguments are supported:
DefaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersion
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.
Description Changes to this property will trigger replacement. string
The description specified for the model when it was created.
EffectiveLabels Changes to this property will trigger replacement. Dictionary<string, string>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
Labels Dictionary<string, string>
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.
Name Changes to this property will trigger replacement. string
The name specified for the model.

OnlinePredictionConsoleLogging Changes to this property will trigger replacement. bool
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging Changes to this property will trigger replacement. bool
If true, online prediction access logs are sent to StackDriver Logging.
Project Changes to this property will trigger replacement. string
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
PulumiLabels Dictionary<string, string>
The combination of labels configured directly on the resource and default labels configured on the provider.
Regions Changes to this property will trigger replacement. string
The list of regions where the model is going to be deployed. Currently only one region per model is supported
DefaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersionArgs
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.
Description Changes to this property will trigger replacement. string
The description specified for the model when it was created.
EffectiveLabels Changes to this property will trigger replacement. map[string]string
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
Labels map[string]string
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.
Name Changes to this property will trigger replacement. string
The name specified for the model.

OnlinePredictionConsoleLogging Changes to this property will trigger replacement. bool
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging Changes to this property will trigger replacement. bool
If true, online prediction access logs are sent to StackDriver Logging.
Project Changes to this property will trigger replacement. string
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
PulumiLabels map[string]string
The combination of labels configured directly on the resource and default labels configured on the provider.
Regions Changes to this property will trigger replacement. string
The list of regions where the model is going to be deployed. Currently only one region per model is supported
defaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersion
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.
description Changes to this property will trigger replacement. String
The description specified for the model when it was created.
effectiveLabels Changes to this property will trigger replacement. Map<String,String>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
labels Map<String,String>
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.
name Changes to this property will trigger replacement. String
The name specified for the model.

onlinePredictionConsoleLogging Changes to this property will trigger replacement. Boolean
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging Changes to this property will trigger replacement. Boolean
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. String
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
pulumiLabels Map<String,String>
The combination of labels configured directly on the resource and default labels configured on the provider.
regions Changes to this property will trigger replacement. String
The list of regions where the model is going to be deployed. Currently only one region per model is supported
defaultVersion Changes to this property will trigger replacement. EngineModelDefaultVersion
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.
description Changes to this property will trigger replacement. string
The description specified for the model when it was created.
effectiveLabels Changes to this property will trigger replacement. {[key: string]: string}
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
labels {[key: string]: string}
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.
name Changes to this property will trigger replacement. string
The name specified for the model.

onlinePredictionConsoleLogging Changes to this property will trigger replacement. boolean
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging Changes to this property will trigger replacement. boolean
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. string
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
pulumiLabels {[key: string]: string}
The combination of labels configured directly on the resource and default labels configured on the provider.
regions Changes to this property will trigger replacement. string
The list of regions where the model is going to be deployed. Currently only one region per model is supported
default_version Changes to this property will trigger replacement. EngineModelDefaultVersionArgs
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.
description Changes to this property will trigger replacement. str
The description specified for the model when it was created.
effective_labels Changes to this property will trigger replacement. Mapping[str, str]
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
labels Mapping[str, str]
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.
name Changes to this property will trigger replacement. str
The name specified for the model.

online_prediction_console_logging Changes to this property will trigger replacement. bool
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
online_prediction_logging Changes to this property will trigger replacement. bool
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. str
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
pulumi_labels Mapping[str, str]
The combination of labels configured directly on the resource and default labels configured on the provider.
regions Changes to this property will trigger replacement. str
The list of regions where the model is going to be deployed. Currently only one region per model is supported
defaultVersion Changes to this property will trigger replacement. Property Map
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.
description Changes to this property will trigger replacement. String
The description specified for the model when it was created.
effectiveLabels Changes to this property will trigger replacement. Map<String>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
labels Map<String>
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.
name Changes to this property will trigger replacement. String
The name specified for the model.

onlinePredictionConsoleLogging Changes to this property will trigger replacement. Boolean
If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging Changes to this property will trigger replacement. Boolean
If true, online prediction access logs are sent to StackDriver Logging.
project Changes to this property will trigger replacement. String
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
pulumiLabels Map<String>
The combination of labels configured directly on the resource and default labels configured on the provider.
regions Changes to this property will trigger replacement. String
The list of regions where the model is going to be deployed. Currently only one region per model is supported

Supporting Types

EngineModelDefaultVersion
, EngineModelDefaultVersionArgs

Name
This property is required.
Changes to this property will trigger replacement.
string
The name specified for the version when it was created.
Name
This property is required.
Changes to this property will trigger replacement.
string
The name specified for the version when it was created.
name
This property is required.
Changes to this property will trigger replacement.
String
The name specified for the version when it was created.
name
This property is required.
Changes to this property will trigger replacement.
string
The name specified for the version when it was created.
name
This property is required.
Changes to this property will trigger replacement.
str
The name specified for the version when it was created.
name
This property is required.
Changes to this property will trigger replacement.
String
The name specified for the version when it was created.

Import

Model can be imported using any of these accepted formats:

  • projects/{{project}}/models/{{name}}

  • {{project}}/{{name}}

  • {{name}}

When using the pulumi import command, Model can be imported using one of the formats above. For example:

$ pulumi import gcp:ml/engineModel:EngineModel default projects/{{project}}/models/{{name}}
Copy
$ pulumi import gcp:ml/engineModel:EngineModel default {{project}}/{{name}}
Copy
$ pulumi import gcp:ml/engineModel:EngineModel default {{name}}
Copy

To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository
Google Cloud (GCP) Classic pulumi/pulumi-gcp
License
Apache-2.0
Notes
This Pulumi package is based on the google-beta Terraform Provider.
Google Cloud v8.25.0 published on Thursday, Apr 3, 2025 by Pulumi
pulumi/pulumi-gcp