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DataRobot v0.4.5 published on Monday, Nov 18, 2024 by DataRobot, Inc.
datarobot-community/pulumi-datarobot

datarobot.PredictionEnvironment

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DataRobot v0.4.5 published on Monday, Nov 18, 2024 by DataRobot, Inc.
datarobot-community/pulumi-datarobot

    prediction environment

    Example Usage

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

const example = new datarobot.PredictionEnvironment("example", {
    batchJobsMaxConcurrent: 20,
    batchJobsPriority: "high",
    credentialId: "<credential_id>",
    datastoreId: "<datastore_id>",
    description: "Description for the example prediction environment",
    managedBy: "selfManaged",
    platform: "datarobotServerless",
    supportedModelFormats: [
        "datarobot",
        "customModel",
    ],
});

    import pulumi
import pulumi_datarobot as datarobot

example = datarobot.PredictionEnvironment("example",
    batch_jobs_max_concurrent=20,
    batch_jobs_priority="high",
    credential_id="<credential_id>",
    datastore_id="<datastore_id>",
    description="Description for the example prediction environment",
    managed_by="selfManaged",
    platform="datarobotServerless",
    supported_model_formats=[
        "datarobot",
        "customModel",
    ])

    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 {
		_, err := datarobot.NewPredictionEnvironment(ctx, "example", &datarobot.PredictionEnvironmentArgs{
			BatchJobsMaxConcurrent: pulumi.Int(20),
			BatchJobsPriority:      pulumi.String("high"),
			CredentialId:           pulumi.String("<credential_id>"),
			DatastoreId:            pulumi.String("<datastore_id>"),
			Description:            pulumi.String("Description for the example prediction environment"),
			ManagedBy:              pulumi.String("selfManaged"),
			Platform:               pulumi.String("datarobotServerless"),
			SupportedModelFormats: pulumi.StringArray{
				pulumi.String("datarobot"),
				pulumi.String("customModel"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = new Datarobot.PredictionEnvironment("example", new()
    {
        BatchJobsMaxConcurrent = 20,
        BatchJobsPriority = "high",
        CredentialId = "<credential_id>",
        DatastoreId = "<datastore_id>",
        Description = "Description for the example prediction environment",
        ManagedBy = "selfManaged",
        Platform = "datarobotServerless",
        SupportedModelFormats = new[]
        {
            "datarobot",
            "customModel",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
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 example = new PredictionEnvironment("example", PredictionEnvironmentArgs.builder()
            .batchJobsMaxConcurrent(20)
            .batchJobsPriority("high")
            .credentialId("<credential_id>")
            .datastoreId("<datastore_id>")
            .description("Description for the example prediction environment")
            .managedBy("selfManaged")
            .platform("datarobotServerless")
            .supportedModelFormats(            
                "datarobot",
                "customModel")
            .build());

    }
}

    resources:
  example:
    type: datarobot:PredictionEnvironment
    properties:
      # Optional
      batchJobsMaxConcurrent: 20
      batchJobsPriority: high
      credentialId: <credential_id>
      datastoreId: <datastore_id>
      description: Description for the example prediction environment
      managedBy: selfManaged
      platform: datarobotServerless
      supportedModelFormats:
        - datarobot
        - customModel

    Create PredictionEnvironment Resource

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

    Constructor syntax

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

@overload
def PredictionEnvironment(resource_name: str,
                          opts: Optional[ResourceOptions] = None,
                          platform: Optional[str] = None,
                          batch_jobs_max_concurrent: Optional[int] = None,
                          batch_jobs_priority: Optional[str] = None,
                          credential_id: Optional[str] = None,
                          datastore_id: Optional[str] = None,
                          description: Optional[str] = None,
                          managed_by: Optional[str] = None,
                          name: Optional[str] = None,
                          supported_model_formats: Optional[Sequence[str]] = None)
    func NewPredictionEnvironment(ctx *Context, name string, args PredictionEnvironmentArgs, opts ...ResourceOption) (*PredictionEnvironment, error)
    public PredictionEnvironment(string name, PredictionEnvironmentArgs args, CustomResourceOptions? opts = null)
    public PredictionEnvironment(String name, PredictionEnvironmentArgs args)
public PredictionEnvironment(String name, PredictionEnvironmentArgs args, CustomResourceOptions options)

    type: datarobot:PredictionEnvironment
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 PredictionEnvironmentArgs
    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 PredictionEnvironmentArgs
    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 PredictionEnvironmentArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args PredictionEnvironmentArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args PredictionEnvironmentArgs
    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 predictionEnvironmentResource = new Datarobot.PredictionEnvironment("predictionEnvironmentResource", new()
{
    Platform = "string",
    BatchJobsMaxConcurrent = 0,
    BatchJobsPriority = "string",
    CredentialId = "string",
    DatastoreId = "string",
    Description = "string",
    ManagedBy = "string",
    Name = "string",
    SupportedModelFormats = new[]
    {
        "string",
    },
});

    example, err := datarobot.NewPredictionEnvironment(ctx, "predictionEnvironmentResource", &datarobot.PredictionEnvironmentArgs{
	Platform:               pulumi.String("string"),
	BatchJobsMaxConcurrent: pulumi.Int(0),
	BatchJobsPriority:      pulumi.String("string"),
	CredentialId:           pulumi.String("string"),
	DatastoreId:            pulumi.String("string"),
	Description:            pulumi.String("string"),
	ManagedBy:              pulumi.String("string"),
	Name:                   pulumi.String("string"),
	SupportedModelFormats: pulumi.StringArray{
		pulumi.String("string"),
	},
})

    var predictionEnvironmentResource = new PredictionEnvironment("predictionEnvironmentResource", PredictionEnvironmentArgs.builder()
    .platform("string")
    .batchJobsMaxConcurrent(0)
    .batchJobsPriority("string")
    .credentialId("string")
    .datastoreId("string")
    .description("string")
    .managedBy("string")
    .name("string")
    .supportedModelFormats("string")
    .build());

    prediction_environment_resource = datarobot.PredictionEnvironment("predictionEnvironmentResource",
    platform="string",
    batch_jobs_max_concurrent=0,
    batch_jobs_priority="string",
    credential_id="string",
    datastore_id="string",
    description="string",
    managed_by="string",
    name="string",
    supported_model_formats=["string"])

    const predictionEnvironmentResource = new datarobot.PredictionEnvironment("predictionEnvironmentResource", {
    platform: "string",
    batchJobsMaxConcurrent: 0,
    batchJobsPriority: "string",
    credentialId: "string",
    datastoreId: "string",
    description: "string",
    managedBy: "string",
    name: "string",
    supportedModelFormats: ["string"],
});

    type: datarobot:PredictionEnvironment
properties:
    batchJobsMaxConcurrent: 0
    batchJobsPriority: string
    credentialId: string
    datastoreId: string
    description: string
    managedBy: string
    name: string
    platform: string
    supportedModelFormats:
        - string

    PredictionEnvironment 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 PredictionEnvironment resource accepts the following input properties:

    Platform string
    The platform for the Prediction Environment.
    BatchJobsMaxConcurrent int
    The maximum number of concurrent batch prediction jobs.
    BatchJobsPriority string
    The importance of batch jobs.
    CredentialId string
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    DatastoreId string
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    Description string
    The description of the Prediction Environment.
    ManagedBy string
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    Name string
    The name of the Prediction Environment.
    SupportedModelFormats List<string>
    The list of supported model formats.
    Platform string
    The platform for the Prediction Environment.
    BatchJobsMaxConcurrent int
    The maximum number of concurrent batch prediction jobs.
    BatchJobsPriority string
    The importance of batch jobs.
    CredentialId string
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    DatastoreId string
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    Description string
    The description of the Prediction Environment.
    ManagedBy string
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    Name string
    The name of the Prediction Environment.
    SupportedModelFormats []string
    The list of supported model formats.
    platform String
    The platform for the Prediction Environment.
    batchJobsMaxConcurrent Integer
    The maximum number of concurrent batch prediction jobs.
    batchJobsPriority String
    The importance of batch jobs.
    credentialId String
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastoreId String
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description String
    The description of the Prediction Environment.
    managedBy String
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name String
    The name of the Prediction Environment.
    supportedModelFormats List<String>
    The list of supported model formats.
    platform string
    The platform for the Prediction Environment.
    batchJobsMaxConcurrent number
    The maximum number of concurrent batch prediction jobs.
    batchJobsPriority string
    The importance of batch jobs.
    credentialId string
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastoreId string
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description string
    The description of the Prediction Environment.
    managedBy string
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name string
    The name of the Prediction Environment.
    supportedModelFormats string[]
    The list of supported model formats.
    platform str
    The platform for the Prediction Environment.
    batch_jobs_max_concurrent int
    The maximum number of concurrent batch prediction jobs.
    batch_jobs_priority str
    The importance of batch jobs.
    credential_id str
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastore_id str
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description str
    The description of the Prediction Environment.
    managed_by str
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name str
    The name of the Prediction Environment.
    supported_model_formats Sequence[str]
    The list of supported model formats.
    platform String
    The platform for the Prediction Environment.
    batchJobsMaxConcurrent Number
    The maximum number of concurrent batch prediction jobs.
    batchJobsPriority String
    The importance of batch jobs.
    credentialId String
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastoreId String
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description String
    The description of the Prediction Environment.
    managedBy String
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name String
    The name of the Prediction Environment.
    supportedModelFormats List<String>
    The list of supported model formats.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the PredictionEnvironment 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 string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing PredictionEnvironment Resource

    Get an existing PredictionEnvironment 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?: PredictionEnvironmentState, opts?: CustomResourceOptions): PredictionEnvironment
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        batch_jobs_max_concurrent: Optional[int] = None,
        batch_jobs_priority: Optional[str] = None,
        credential_id: Optional[str] = None,
        datastore_id: Optional[str] = None,
        description: Optional[str] = None,
        managed_by: Optional[str] = None,
        name: Optional[str] = None,
        platform: Optional[str] = None,
        supported_model_formats: Optional[Sequence[str]] = None) -> PredictionEnvironment
    func GetPredictionEnvironment(ctx *Context, name string, id IDInput, state *PredictionEnvironmentState, opts ...ResourceOption) (*PredictionEnvironment, error)
    public static PredictionEnvironment Get(string name, Input<string> id, PredictionEnvironmentState? state, CustomResourceOptions? opts = null)
    public static PredictionEnvironment get(String name, Output<String> id, PredictionEnvironmentState 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:
    BatchJobsMaxConcurrent int
    The maximum number of concurrent batch prediction jobs.
    BatchJobsPriority string
    The importance of batch jobs.
    CredentialId string
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    DatastoreId string
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    Description string
    The description of the Prediction Environment.
    ManagedBy string
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    Name string
    The name of the Prediction Environment.
    Platform string
    The platform for the Prediction Environment.
    SupportedModelFormats List<string>
    The list of supported model formats.
    BatchJobsMaxConcurrent int
    The maximum number of concurrent batch prediction jobs.
    BatchJobsPriority string
    The importance of batch jobs.
    CredentialId string
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    DatastoreId string
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    Description string
    The description of the Prediction Environment.
    ManagedBy string
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    Name string
    The name of the Prediction Environment.
    Platform string
    The platform for the Prediction Environment.
    SupportedModelFormats []string
    The list of supported model formats.
    batchJobsMaxConcurrent Integer
    The maximum number of concurrent batch prediction jobs.
    batchJobsPriority String
    The importance of batch jobs.
    credentialId String
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastoreId String
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description String
    The description of the Prediction Environment.
    managedBy String
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name String
    The name of the Prediction Environment.
    platform String
    The platform for the Prediction Environment.
    supportedModelFormats List<String>
    The list of supported model formats.
    batchJobsMaxConcurrent number
    The maximum number of concurrent batch prediction jobs.
    batchJobsPriority string
    The importance of batch jobs.
    credentialId string
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastoreId string
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description string
    The description of the Prediction Environment.
    managedBy string
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name string
    The name of the Prediction Environment.
    platform string
    The platform for the Prediction Environment.
    supportedModelFormats string[]
    The list of supported model formats.
    batch_jobs_max_concurrent int
    The maximum number of concurrent batch prediction jobs.
    batch_jobs_priority str
    The importance of batch jobs.
    credential_id str
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastore_id str
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description str
    The description of the Prediction Environment.
    managed_by str
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name str
    The name of the Prediction Environment.
    platform str
    The platform for the Prediction Environment.
    supported_model_formats Sequence[str]
    The list of supported model formats.
    batchJobsMaxConcurrent Number
    The maximum number of concurrent batch prediction jobs.
    batchJobsPriority String
    The importance of batch jobs.
    credentialId String
    The ID of the credential associated with the data connection. Only applicable for external prediction environments managed by DataRobot.
    datastoreId String
    The ID of the data store connection configuration. Only applicable for external prediction environments managed by DataRobot.
    description String
    The description of the Prediction Environment.
    managedBy String
    Determines if the prediction environment should be managed by the management agent, datarobot, or self-managed. Self-managed by default.
    name String
    The name of the Prediction Environment.
    platform String
    The platform for the Prediction Environment.
    supportedModelFormats List<String>
    The list of supported model formats.

    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 v0.4.5 published on Monday, Nov 18, 2024 by DataRobot, Inc.
    datarobot-community/pulumi-datarobot