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DataRobot v0.1.44 published on Monday, Sep 23, 2024 by DataRobot, Inc.
datarobot-community/pulumi-datarobot

datarobot.RegisteredModel

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DataRobot v0.1.44 published on Monday, Sep 23, 2024 by DataRobot, Inc.
datarobot-community/pulumi-datarobot

    registered model

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as datarobot from "@datarobot/pulumi-datarobot";

const exampleCustomModel = new datarobot.CustomModel("exampleCustomModel", {
    description: "Description for the example custom model",
    targetType: "Binary",
    targetName: "my_label",
    baseEnvironmentName: "[GenAI] Python 3.11 with Moderations",
    files: ["example.py"],
});
const exampleRegisteredModel = new datarobot.RegisteredModel("exampleRegisteredModel", {
    customModelVersionId: exampleCustomModel.versionId,
    description: "Description for the example registered model",
});
const examplePredictionEnvironment = new datarobot.PredictionEnvironment("examplePredictionEnvironment", {
    description: "Description for the example prediction environment",
    platform: "datarobotServerless",
});
export const datarobotRegisteredModelId = exampleRegisteredModel.id;
export const datarobotRegisteredModelVersionId = exampleRegisteredModel.versionId;

    import pulumi
import pulumi_datarobot as datarobot

example_custom_model = datarobot.CustomModel("exampleCustomModel",
    description="Description for the example custom model",
    target_type="Binary",
    target_name="my_label",
    base_environment_name="[GenAI] Python 3.11 with Moderations",
    files=["example.py"])
example_registered_model = datarobot.RegisteredModel("exampleRegisteredModel",
    custom_model_version_id=example_custom_model.version_id,
    description="Description for the example registered model")
example_prediction_environment = datarobot.PredictionEnvironment("examplePredictionEnvironment",
    description="Description for the example prediction environment",
    platform="datarobotServerless")
pulumi.export("datarobotRegisteredModelId", example_registered_model.id)
pulumi.export("datarobotRegisteredModelVersionId", example_registered_model.version_id)

    package main

import (
	"github.com/datarobot-community/pulumi-datarobot/sdk/go/datarobot"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		exampleCustomModel, err := datarobot.NewCustomModel(ctx, "exampleCustomModel", &datarobot.CustomModelArgs{
			Description:         pulumi.String("Description for the example custom model"),
			TargetType:          pulumi.String("Binary"),
			TargetName:          pulumi.String("my_label"),
			BaseEnvironmentName: pulumi.String("[GenAI] Python 3.11 with Moderations"),
			Files: pulumi.Any{
				"example.py",
			},
		})
		if err != nil {
			return err
		}
		exampleRegisteredModel, err := datarobot.NewRegisteredModel(ctx, "exampleRegisteredModel", &datarobot.RegisteredModelArgs{
			CustomModelVersionId: exampleCustomModel.VersionId,
			Description:          pulumi.String("Description for the example registered model"),
		})
		if err != nil {
			return err
		}
		_, err = datarobot.NewPredictionEnvironment(ctx, "examplePredictionEnvironment", &datarobot.PredictionEnvironmentArgs{
			Description: pulumi.String("Description for the example prediction environment"),
			Platform:    pulumi.String("datarobotServerless"),
		})
		if err != nil {
			return err
		}
		ctx.Export("datarobotRegisteredModelId", exampleRegisteredModel.ID())
		ctx.Export("datarobotRegisteredModelVersionId", exampleRegisteredModel.VersionId)
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Datarobot = DataRobotPulumi.Datarobot;

return await Deployment.RunAsync(() => 
{
    var exampleCustomModel = new Datarobot.CustomModel("exampleCustomModel", new()
    {
        Description = "Description for the example custom model",
        TargetType = "Binary",
        TargetName = "my_label",
        BaseEnvironmentName = "[GenAI] Python 3.11 with Moderations",
        Files = new[]
        {
            "example.py",
        },
    });

    var exampleRegisteredModel = new Datarobot.RegisteredModel("exampleRegisteredModel", new()
    {
        CustomModelVersionId = exampleCustomModel.VersionId,
        Description = "Description for the example registered model",
    });

    var examplePredictionEnvironment = new Datarobot.PredictionEnvironment("examplePredictionEnvironment", new()
    {
        Description = "Description for the example prediction environment",
        Platform = "datarobotServerless",
    });

    return new Dictionary<string, object?>
    {
        ["datarobotRegisteredModelId"] = exampleRegisteredModel.Id,
        ["datarobotRegisteredModelVersionId"] = exampleRegisteredModel.VersionId,
    };
});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.datarobot.CustomModel;
import com.pulumi.datarobot.CustomModelArgs;
import com.pulumi.datarobot.RegisteredModel;
import com.pulumi.datarobot.RegisteredModelArgs;
import com.pulumi.datarobot.PredictionEnvironment;
import com.pulumi.datarobot.PredictionEnvironmentArgs;
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 exampleCustomModel = new CustomModel("exampleCustomModel", CustomModelArgs.builder()
            .description("Description for the example custom model")
            .targetType("Binary")
            .targetName("my_label")
            .baseEnvironmentName("[GenAI] Python 3.11 with Moderations")
            .files("example.py")
            .build());

        var exampleRegisteredModel = new RegisteredModel("exampleRegisteredModel", RegisteredModelArgs.builder()
            .customModelVersionId(exampleCustomModel.versionId())
            .description("Description for the example registered model")
            .build());

        var examplePredictionEnvironment = new PredictionEnvironment("examplePredictionEnvironment", PredictionEnvironmentArgs.builder()
            .description("Description for the example prediction environment")
            .platform("datarobotServerless")
            .build());

        ctx.export("datarobotRegisteredModelId", exampleRegisteredModel.id());
        ctx.export("datarobotRegisteredModelVersionId", exampleRegisteredModel.versionId());
    }
}

    resources:
  exampleCustomModel:
    type: datarobot:CustomModel
    properties:
      description: Description for the example custom model
      targetType: Binary
      targetName: my_label
      baseEnvironmentName: '[GenAI] Python 3.11 with Moderations'
      files:
        - example.py
  exampleRegisteredModel:
    type: datarobot:RegisteredModel
    properties:
      customModelVersionId: ${exampleCustomModel.versionId}
      description: Description for the example registered model
  examplePredictionEnvironment:
    type: datarobot:PredictionEnvironment
    properties:
      description: Description for the example prediction environment
      platform: datarobotServerless
outputs:
  datarobotRegisteredModelId: ${exampleRegisteredModel.id}
  datarobotRegisteredModelVersionId: ${exampleRegisteredModel.versionId}

    Create RegisteredModel Resource

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

    Constructor syntax

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

@overload
def RegisteredModel(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    custom_model_version_id: Optional[str] = None,
                    description: Optional[str] = None,
                    name: Optional[str] = None,
                    version_name: Optional[str] = None)
    func NewRegisteredModel(ctx *Context, name string, args RegisteredModelArgs, opts ...ResourceOption) (*RegisteredModel, error)
    public RegisteredModel(string name, RegisteredModelArgs args, CustomResourceOptions? opts = null)
    public RegisteredModel(String name, RegisteredModelArgs args)
public RegisteredModel(String name, RegisteredModelArgs args, CustomResourceOptions options)

    type: datarobot:RegisteredModel
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 RegisteredModelArgs
    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 RegisteredModelArgs
    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 RegisteredModelArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args RegisteredModelArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args RegisteredModelArgs
    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 registeredModelResource = new Datarobot.RegisteredModel("registeredModelResource", new()
{
    CustomModelVersionId = "string",
    Description = "string",
    Name = "string",
    VersionName = "string",
});

    example, err := datarobot.NewRegisteredModel(ctx, "registeredModelResource", &datarobot.RegisteredModelArgs{
	CustomModelVersionId: pulumi.String("string"),
	Description:          pulumi.String("string"),
	Name:                 pulumi.String("string"),
	VersionName:          pulumi.String("string"),
})

    var registeredModelResource = new RegisteredModel("registeredModelResource", RegisteredModelArgs.builder()
    .customModelVersionId("string")
    .description("string")
    .name("string")
    .versionName("string")
    .build());

    registered_model_resource = datarobot.RegisteredModel("registeredModelResource",
    custom_model_version_id="string",
    description="string",
    name="string",
    version_name="string")

    const registeredModelResource = new datarobot.RegisteredModel("registeredModelResource", {
    customModelVersionId: "string",
    description: "string",
    name: "string",
    versionName: "string",
});

    type: datarobot:RegisteredModel
properties:
    customModelVersionId: string
    description: string
    name: string
    versionName: string

    RegisteredModel 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 RegisteredModel resource accepts the following input properties:

    CustomModelVersionId string
    The ID of the custom model version for this Registered Model.
    Description string
    The description of the Registered Model.
    Name string
    The name of the Registered Model.
    VersionName string
    The name of the Registered Model Version.
    CustomModelVersionId string
    The ID of the custom model version for this Registered Model.
    Description string
    The description of the Registered Model.
    Name string
    The name of the Registered Model.
    VersionName string
    The name of the Registered Model Version.
    customModelVersionId String
    The ID of the custom model version for this Registered Model.
    description String
    The description of the Registered Model.
    name String
    The name of the Registered Model.
    versionName String
    The name of the Registered Model Version.
    customModelVersionId string
    The ID of the custom model version for this Registered Model.
    description string
    The description of the Registered Model.
    name string
    The name of the Registered Model.
    versionName string
    The name of the Registered Model Version.
    custom_model_version_id str
    The ID of the custom model version for this Registered Model.
    description str
    The description of the Registered Model.
    name str
    The name of the Registered Model.
    version_name str
    The name of the Registered Model Version.
    customModelVersionId String
    The ID of the custom model version for this Registered Model.
    description String
    The description of the Registered Model.
    name String
    The name of the Registered Model.
    versionName String
    The name of the Registered Model Version.

    Outputs

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

    Id string
    The provider-assigned unique ID for this managed resource.
    VersionId string
    The ID of the Registered Model Version.
    Id string
    The provider-assigned unique ID for this managed resource.
    VersionId string
    The ID of the Registered Model Version.
    id String
    The provider-assigned unique ID for this managed resource.
    versionId String
    The ID of the Registered Model Version.
    id string
    The provider-assigned unique ID for this managed resource.
    versionId string
    The ID of the Registered Model Version.
    id str
    The provider-assigned unique ID for this managed resource.
    version_id str
    The ID of the Registered Model Version.
    id String
    The provider-assigned unique ID for this managed resource.
    versionId String
    The ID of the Registered Model Version.

    Look up Existing RegisteredModel Resource

    Get an existing RegisteredModel 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?: RegisteredModelState, opts?: CustomResourceOptions): RegisteredModel
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        custom_model_version_id: Optional[str] = None,
        description: Optional[str] = None,
        name: Optional[str] = None,
        version_id: Optional[str] = None,
        version_name: Optional[str] = None) -> RegisteredModel
    func GetRegisteredModel(ctx *Context, name string, id IDInput, state *RegisteredModelState, opts ...ResourceOption) (*RegisteredModel, error)
    public static RegisteredModel Get(string name, Input<string> id, RegisteredModelState? state, CustomResourceOptions? opts = null)
    public static RegisteredModel get(String name, Output<String> id, RegisteredModelState 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.
    The following state arguments are supported:
    CustomModelVersionId string
    The ID of the custom model version for this Registered Model.
    Description string
    The description of the Registered Model.
    Name string
    The name of the Registered Model.
    VersionId string
    The ID of the Registered Model Version.
    VersionName string
    The name of the Registered Model Version.
    CustomModelVersionId string
    The ID of the custom model version for this Registered Model.
    Description string
    The description of the Registered Model.
    Name string
    The name of the Registered Model.
    VersionId string
    The ID of the Registered Model Version.
    VersionName string
    The name of the Registered Model Version.
    customModelVersionId String
    The ID of the custom model version for this Registered Model.
    description String
    The description of the Registered Model.
    name String
    The name of the Registered Model.
    versionId String
    The ID of the Registered Model Version.
    versionName String
    The name of the Registered Model Version.
    customModelVersionId string
    The ID of the custom model version for this Registered Model.
    description string
    The description of the Registered Model.
    name string
    The name of the Registered Model.
    versionId string
    The ID of the Registered Model Version.
    versionName string
    The name of the Registered Model Version.
    custom_model_version_id str
    The ID of the custom model version for this Registered Model.
    description str
    The description of the Registered Model.
    name str
    The name of the Registered Model.
    version_id str
    The ID of the Registered Model Version.
    version_name str
    The name of the Registered Model Version.
    customModelVersionId String
    The ID of the custom model version for this Registered Model.
    description String
    The description of the Registered Model.
    name String
    The name of the Registered Model.
    versionId String
    The ID of the Registered Model Version.
    versionName String
    The name of the Registered Model Version.

    Package Details

    Repository
    datarobot datarobot-community/pulumi-datarobot
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the datarobot Terraform Provider.
    datarobot logo
    DataRobot v0.1.44 published on Monday, Sep 23, 2024 by DataRobot, Inc.
    datarobot-community/pulumi-datarobot