gcp.ml.EngineModel
Explore with Pulumi AI
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:
- API documentation
- How-to Guides
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",
});
import pulumi
import pulumi_gcp as gcp
default = gcp.ml.EngineModel("default",
name="default",
description="My model",
regions="us-central1")
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
})
}
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",
});
});
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());
}
}
resources:
default:
type: gcp:ml:EngineModel
properties:
name: default
description: My model
regions: us-central1
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,
});
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)
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
})
}
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,
});
});
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());
}
}
resources:
default:
type: gcp:ml:EngineModel
properties:
name: default
description: My model
regions: us-central1
labels:
my_model: foo
onlinePredictionLogging: true
onlinePredictionConsoleLogging: true
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 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 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 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 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 String
- The unique name of the resource.
- args 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",
});
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"),
})
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());
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")
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",
});
type: gcp:ml:EngineModel
properties:
defaultVersion:
name: string
description: string
labels:
string: string
name: string
onlinePredictionConsoleLogging: false
onlinePredictionLogging: false
project: string
regions: string
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
The EngineModel resource accepts the following input properties:
- Default
Version EngineModel Default Version - 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 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 string
- The name specified for the model.
- Online
Prediction boolConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- Online
Prediction boolLogging - If true, online prediction access logs are sent to StackDriver Logging.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Regions string
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- Default
Version EngineModel Default Version Args - 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 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 string
- The name specified for the model.
- Online
Prediction boolConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- Online
Prediction boolLogging - If true, online prediction access logs are sent to StackDriver Logging.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Regions string
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default
Version EngineModel Default Version - 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 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 String
- The name specified for the model.
- online
Prediction BooleanConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online
Prediction BooleanLogging - If true, online prediction access logs are sent to StackDriver Logging.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- regions String
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default
Version EngineModel Default Version - 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 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 string
- The name specified for the model.
- online
Prediction booleanConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online
Prediction booleanLogging - If true, online prediction access logs are sent to StackDriver Logging.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- regions string
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default_
version EngineModel Default Version Args - 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 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 str
- The name specified for the model.
- online_
prediction_ boolconsole_ logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online_
prediction_ boollogging - If true, online prediction access logs are sent to StackDriver Logging.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- regions str
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default
Version 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 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 String
- The name specified for the model.
- online
Prediction BooleanConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online
Prediction BooleanLogging - If true, online prediction access logs are sent to StackDriver Logging.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- regions 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:
- Effective
Labels 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.
- Pulumi
Labels Dictionary<string, string> - The combination of labels configured directly on the resource and default labels configured on the provider.
- Effective
Labels 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.
- Pulumi
Labels map[string]string - The combination of labels configured directly on the resource and default labels configured on the provider.
- effective
Labels 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.
- pulumi
Labels Map<String,String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- effective
Labels {[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.
- pulumi
Labels {[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.
- effective
Labels 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.
- pulumi
Labels 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)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- 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
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- 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
- The unique name of the resulting resource.
- id
- 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
- The unique name of the resulting resource.
- id
- 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.
- Default
Version EngineModel Default Version - 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 string
- The description specified for the model when it was created.
- Effective
Labels 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 string
- The name specified for the model.
- Online
Prediction boolConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- Online
Prediction boolLogging - If true, online prediction access logs are sent to StackDriver Logging.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Pulumi
Labels Dictionary<string, string> - The combination of labels configured directly on the resource and default labels configured on the provider.
- Regions string
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- Default
Version EngineModel Default Version Args - 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 string
- The description specified for the model when it was created.
- Effective
Labels 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 string
- The name specified for the model.
- Online
Prediction boolConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- Online
Prediction boolLogging - If true, online prediction access logs are sent to StackDriver Logging.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Pulumi
Labels map[string]string - The combination of labels configured directly on the resource and default labels configured on the provider.
- Regions string
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default
Version EngineModel Default Version - 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 String
- The description specified for the model when it was created.
- effective
Labels 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 String
- The name specified for the model.
- online
Prediction BooleanConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online
Prediction BooleanLogging - If true, online prediction access logs are sent to StackDriver Logging.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi
Labels Map<String,String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- regions String
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default
Version EngineModel Default Version - 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 string
- The description specified for the model when it was created.
- effective
Labels {[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 string
- The name specified for the model.
- online
Prediction booleanConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online
Prediction booleanLogging - If true, online prediction access logs are sent to StackDriver Logging.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi
Labels {[key: string]: string} - The combination of labels configured directly on the resource and default labels configured on the provider.
- regions string
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default_
version EngineModel Default Version Args - 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 str
- The description specified for the model when it was created.
- 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.
- 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 str
- The name specified for the model.
- online_
prediction_ boolconsole_ logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online_
prediction_ boollogging - If true, online prediction access logs are sent to StackDriver Logging.
- project 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 str
- The list of regions where the model is going to be deployed. Currently only one region per model is supported
- default
Version 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 String
- The description specified for the model when it was created.
- effective
Labels 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 String
- The name specified for the model.
- online
Prediction BooleanConsole Logging - If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
- online
Prediction BooleanLogging - If true, online prediction access logs are sent to StackDriver Logging.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- pulumi
Labels Map<String> - The combination of labels configured directly on the resource and default labels configured on the provider.
- regions 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 string
- The name specified for the version when it was created.
- Name string
- The name specified for the version when it was created.
- name String
- The name specified for the version when it was created.
- name string
- The name specified for the version when it was created.
- name str
- The name specified for the version when it was created.
- name 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}}
$ pulumi import gcp:ml/engineModel:EngineModel default {{project}}/{{name}}
$ pulumi import gcp:ml/engineModel:EngineModel default {{name}}
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.