datarobot.RegisteredModel
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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",
baseEnvironmentId: "65f9b27eab986d30d4c64268",
files: ["example.py"],
});
const exampleRegisteredModel = new datarobot.RegisteredModel("exampleRegisteredModel", {
customModelVersionId: exampleCustomModel.versionId,
description: "Description for the example registered model",
});
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_id="65f9b27eab986d30d4c64268",
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")
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"),
BaseEnvironmentId: pulumi.String("65f9b27eab986d30d4c64268"),
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
}
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",
BaseEnvironmentId = "65f9b27eab986d30d4c64268",
Files = new[]
{
"example.py",
},
});
var exampleRegisteredModel = new Datarobot.RegisteredModel("exampleRegisteredModel", new()
{
CustomModelVersionId = exampleCustomModel.VersionId,
Description = "Description for the example registered model",
});
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 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")
.baseEnvironmentId("65f9b27eab986d30d4c64268")
.files("example.py")
.build());
var exampleRegisteredModel = new RegisteredModel("exampleRegisteredModel", RegisteredModelArgs.builder()
.customModelVersionId(exampleCustomModel.versionId())
.description("Description for the example registered model")
.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
baseEnvironmentId: 65f9b27eab986d30d4c64268
files:
- example.py
exampleRegisteredModel:
type: datarobot:RegisteredModel
properties:
customModelVersionId: ${exampleCustomModel.versionId}
description: Description for the example registered model
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,
use_case_ids: Optional[Sequence[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",
UseCaseIds = new[]
{
"string",
},
VersionName = "string",
});
example, err := datarobot.NewRegisteredModel(ctx, "registeredModelResource", &datarobot.RegisteredModelArgs{
CustomModelVersionId: pulumi.String("string"),
Description: pulumi.String("string"),
Name: pulumi.String("string"),
UseCaseIds: pulumi.StringArray{
pulumi.String("string"),
},
VersionName: pulumi.String("string"),
})
var registeredModelResource = new RegisteredModel("registeredModelResource", RegisteredModelArgs.builder()
.customModelVersionId("string")
.description("string")
.name("string")
.useCaseIds("string")
.versionName("string")
.build());
registered_model_resource = datarobot.RegisteredModel("registeredModelResource",
custom_model_version_id="string",
description="string",
name="string",
use_case_ids=["string"],
version_name="string")
const registeredModelResource = new datarobot.RegisteredModel("registeredModelResource", {
customModelVersionId: "string",
description: "string",
name: "string",
useCaseIds: ["string"],
versionName: "string",
});
type: datarobot:RegisteredModel
properties:
customModelVersionId: string
description: string
name: string
useCaseIds:
- 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
In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.
The RegisteredModel resource accepts the following input properties:
- Custom
Model stringVersion Id - 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.
- Use
Case List<string>Ids - The list of Use Case IDs to add the Registered Model version to.
- Version
Name string - The name of the Registered Model Version.
- Custom
Model stringVersion Id - 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.
- Use
Case []stringIds - The list of Use Case IDs to add the Registered Model version to.
- Version
Name string - The name of the Registered Model Version.
- custom
Model StringVersion Id - 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.
- use
Case List<String>Ids - The list of Use Case IDs to add the Registered Model version to.
- version
Name String - The name of the Registered Model Version.
- custom
Model stringVersion Id - 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.
- use
Case string[]Ids - The list of Use Case IDs to add the Registered Model version to.
- version
Name string - The name of the Registered Model Version.
- custom_
model_ strversion_ id - 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.
- use_
case_ Sequence[str]ids - The list of Use Case IDs to add the Registered Model version to.
- version_
name str - The name of the Registered Model Version.
- custom
Model StringVersion Id - 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.
- use
Case List<String>Ids - The list of Use Case IDs to add the Registered Model version to.
- version
Name 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 str
- The provider-assigned unique ID for this managed resource.
- version_
id str - 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,
use_case_ids: Optional[Sequence[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)
resources: _: type: datarobot:RegisteredModel get: id: ${id}
- 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.
- Custom
Model stringVersion Id - 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.
- Use
Case List<string>Ids - The list of Use Case IDs to add the Registered Model version to.
- Version
Id string - The ID of the Registered Model Version.
- Version
Name string - The name of the Registered Model Version.
- Custom
Model stringVersion Id - 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.
- Use
Case []stringIds - The list of Use Case IDs to add the Registered Model version to.
- Version
Id string - The ID of the Registered Model Version.
- Version
Name string - The name of the Registered Model Version.
- custom
Model StringVersion Id - 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.
- use
Case List<String>Ids - The list of Use Case IDs to add the Registered Model version to.
- version
Id String - The ID of the Registered Model Version.
- version
Name String - The name of the Registered Model Version.
- custom
Model stringVersion Id - 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.
- use
Case string[]Ids - The list of Use Case IDs to add the Registered Model version to.
- version
Id string - The ID of the Registered Model Version.
- version
Name string - The name of the Registered Model Version.
- custom_
model_ strversion_ id - 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.
- use_
case_ Sequence[str]ids - The list of Use Case IDs to add the Registered Model version to.
- version_
id str - The ID of the Registered Model Version.
- version_
name str - The name of the Registered Model Version.
- custom
Model StringVersion Id - 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.
- use
Case List<String>Ids - The list of Use Case IDs to add the Registered Model version to.
- version
Id String - The ID of the Registered Model Version.
- version
Name 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.
