EngineModel

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.

Create a EngineModel Resource

new EngineModel(name: string, args?: EngineModelArgs, opts?: CustomResourceOptions);

def EngineModel(resource_name, opts=None, default_version=None, description=None, labels=None, name=None, online_prediction_console_logging=None, online_prediction_logging=None, project=None, regions=None, __props__=None);

func NewEngineModel(ctx *Context, name string, args *EngineModelArgs, opts ...ResourceOption) (*EngineModel, error)

public EngineModel(string name, EngineModelArgs? args = null, CustomResourceOptions? opts = null)

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.
opts ResourceOptions: A bag of options that control this 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.

EngineModel Resource Properties

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

Inputs

The EngineModel resource accepts the following input properties:

DefaultVersion 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 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.
Name string: The name specified for the version when it was created.
OnlinePredictionConsoleLogging bool: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging bool: 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

DefaultVersion 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 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.
Name string: The name specified for the version when it was created.
OnlinePredictionConsoleLogging bool: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging bool: 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

defaultVersion 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 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.
name string: The name specified for the version when it was created.
onlinePredictionConsoleLogging boolean: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging boolean: 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 Dict[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 str: The description specified for the model when it was created.
labels Dict[str, str]: One or more labels that you can add, to organize your models.
name str: The name specified for the version when it was created.
online_prediction_console_logging bool: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
online_prediction_logging bool: 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

Outputs

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

Id string: The provider-assigned unique ID for this managed resource.

Id string: The provider-assigned unique ID for this managed resource.

id string: The provider-assigned unique ID for this managed resource.

id str: The provider-assigned unique ID for this managed resource.

Look up an 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

static get(resource_name, id, opts=None, default_version=None, description=None, labels=None, name=None, online_prediction_console_logging=None, online_prediction_logging=None, project=None, regions=None, __props__=None);

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)

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.

The following state arguments are supported:

DefaultVersion 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 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.
Name string: The name specified for the version when it was created.
OnlinePredictionConsoleLogging bool: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging bool: 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

DefaultVersion 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 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.
Name string: The name specified for the version when it was created.
OnlinePredictionConsoleLogging bool: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
OnlinePredictionLogging bool: 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

defaultVersion 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 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.
name string: The name specified for the version when it was created.
onlinePredictionConsoleLogging boolean: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
onlinePredictionLogging boolean: 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 Dict[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 str: The description specified for the model when it was created.
labels Dict[str, str]: One or more labels that you can add, to organize your models.
name str: The name specified for the version when it was created.
online_prediction_console_logging bool: If true, online prediction nodes send stderr and stdout streams to Stackdriver Logging
online_prediction_logging bool: 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

Supporting Types

EngineModelDefaultVersion

See the input and output API doc for this type.

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.

Package Details

Repository: https://github.com/pulumi/pulumi-gcp
License: Apache-2.0
Notes: This Pulumi package is based on the google-beta Terraform Provider.

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