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DataRobot v0.9.0 published on Tuesday, Apr 8, 2025 by DataRobot, Inc.

datarobot.CustomMetricJob

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Custom Job

Example Usage

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

const example = new datarobot.CustomMetricJob("example", {
    files: [
        "file1.py",
        "file2.py",
    ],
    environmentId: "65f9b27eab986d30d4c64268",
    description: "Example Custom Metric Job Description",
    runtimeParameterValues: [{
        key: "EXAMPLE_PARAM",
        type: "string",
        value: "val",
    }],
    egressNetworkPolicy: "none",
    resourceBundleId: "cpu.micro",
    units: "count",
    directionality: "lowerIsBetter",
    type: "sum",
    isModelSpecific: false,
});
export const exampleId = example.id;
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import pulumi
import pulumi_datarobot as datarobot

example = datarobot.CustomMetricJob("example",
    files=[
        "file1.py",
        "file2.py",
    ],
    environment_id="65f9b27eab986d30d4c64268",
    description="Example Custom Metric Job Description",
    runtime_parameter_values=[{
        "key": "EXAMPLE_PARAM",
        "type": "string",
        "value": "val",
    }],
    egress_network_policy="none",
    resource_bundle_id="cpu.micro",
    units="count",
    directionality="lowerIsBetter",
    type="sum",
    is_model_specific=False)
pulumi.export("exampleId", example.id)
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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 {
		example, err := datarobot.NewCustomMetricJob(ctx, "example", &datarobot.CustomMetricJobArgs{
			Files: pulumi.Any{
				"file1.py",
				"file2.py",
			},
			EnvironmentId: pulumi.String("65f9b27eab986d30d4c64268"),
			Description:   pulumi.String("Example Custom Metric Job Description"),
			RuntimeParameterValues: datarobot.CustomMetricJobRuntimeParameterValueArray{
				&datarobot.CustomMetricJobRuntimeParameterValueArgs{
					Key:   pulumi.String("EXAMPLE_PARAM"),
					Type:  pulumi.String("string"),
					Value: pulumi.String("val"),
				},
			},
			EgressNetworkPolicy: pulumi.String("none"),
			ResourceBundleId:    pulumi.String("cpu.micro"),
			Units:               pulumi.String("count"),
			Directionality:      pulumi.String("lowerIsBetter"),
			Type:                pulumi.String("sum"),
			IsModelSpecific:     pulumi.Bool(false),
		})
		if err != nil {
			return err
		}
		ctx.Export("exampleId", example.ID())
		return nil
	})
}
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Datarobot = DataRobotPulumi.Datarobot;

return await Deployment.RunAsync(() => 
{
    var example = new Datarobot.CustomMetricJob("example", new()
    {
        Files = new[]
        {
            "file1.py",
            "file2.py",
        },
        EnvironmentId = "65f9b27eab986d30d4c64268",
        Description = "Example Custom Metric Job Description",
        RuntimeParameterValues = new[]
        {
            new Datarobot.Inputs.CustomMetricJobRuntimeParameterValueArgs
            {
                Key = "EXAMPLE_PARAM",
                Type = "string",
                Value = "val",
            },
        },
        EgressNetworkPolicy = "none",
        ResourceBundleId = "cpu.micro",
        Units = "count",
        Directionality = "lowerIsBetter",
        Type = "sum",
        IsModelSpecific = false,
    });

    return new Dictionary<string, object?>
    {
        ["exampleId"] = example.Id,
    };
});
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package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.datarobot.CustomMetricJob;
import com.pulumi.datarobot.CustomMetricJobArgs;
import com.pulumi.datarobot.inputs.CustomMetricJobRuntimeParameterValueArgs;
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 CustomMetricJob("example", CustomMetricJobArgs.builder()
            .files(            
                "file1.py",
                "file2.py")
            .environmentId("65f9b27eab986d30d4c64268")
            .description("Example Custom Metric Job Description")
            .runtimeParameterValues(CustomMetricJobRuntimeParameterValueArgs.builder()
                .key("EXAMPLE_PARAM")
                .type("string")
                .value("val")
                .build())
            .egressNetworkPolicy("none")
            .resourceBundleId("cpu.micro")
            .units("count")
            .directionality("lowerIsBetter")
            .type("sum")
            .isModelSpecific(false)
            .build());

        ctx.export("exampleId", example.id());
    }
}
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resources:
  example:
    type: datarobot:CustomMetricJob
    properties:
      files:
        - file1.py
        - file2.py
      environmentId: 65f9b27eab986d30d4c64268
      # Optional
      description: Example Custom Metric Job Description
      runtimeParameterValues:
        - key: EXAMPLE_PARAM
          type: string
          value: val
      egressNetworkPolicy: none
      resourceBundleId: cpu.micro
      units: count
      directionality: lowerIsBetter
      type: sum
      isModelSpecific: false
outputs:
  exampleId: ${example.id}
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Create CustomMetricJob Resource

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

Constructor syntax

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

@overload
def CustomMetricJob(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    description: Optional[str] = None,
                    directionality: Optional[str] = None,
                    egress_network_policy: Optional[str] = None,
                    environment_id: Optional[str] = None,
                    environment_version_id: Optional[str] = None,
                    files: Optional[Any] = None,
                    folder_path: Optional[str] = None,
                    is_model_specific: Optional[bool] = None,
                    name: Optional[str] = None,
                    resource_bundle_id: Optional[str] = None,
                    runtime_parameter_values: Optional[Sequence[CustomMetricJobRuntimeParameterValueArgs]] = None,
                    time_step: Optional[str] = None,
                    type: Optional[str] = None,
                    units: Optional[str] = None)
func NewCustomMetricJob(ctx *Context, name string, args *CustomMetricJobArgs, opts ...ResourceOption) (*CustomMetricJob, error)
public CustomMetricJob(string name, CustomMetricJobArgs? args = null, CustomResourceOptions? opts = null)
public CustomMetricJob(String name, CustomMetricJobArgs args)
public CustomMetricJob(String name, CustomMetricJobArgs args, CustomResourceOptions options)
type: datarobot:CustomMetricJob
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name This property is required. string
The unique name of the resource.
args CustomMetricJobArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
resource_name This property is required. str
The unique name of the resource.
args CustomMetricJobArgs
The arguments to resource properties.
opts ResourceOptions
Bag of options to control resource's behavior.
ctx Context
Context object for the current deployment.
name This property is required. string
The unique name of the resource.
args CustomMetricJobArgs
The arguments to resource properties.
opts ResourceOption
Bag of options to control resource's behavior.
name This property is required. string
The unique name of the resource.
args CustomMetricJobArgs
The arguments to resource properties.
opts CustomResourceOptions
Bag of options to control resource's behavior.
name This property is required. String
The unique name of the resource.
args This property is required. CustomMetricJobArgs
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 customMetricJobResource = new Datarobot.CustomMetricJob("customMetricJobResource", new()
{
    Description = "string",
    Directionality = "string",
    EgressNetworkPolicy = "string",
    EnvironmentId = "string",
    EnvironmentVersionId = "string",
    Files = "any",
    FolderPath = "string",
    IsModelSpecific = false,
    Name = "string",
    ResourceBundleId = "string",
    RuntimeParameterValues = new[]
    {
        new Datarobot.Inputs.CustomMetricJobRuntimeParameterValueArgs
        {
            Key = "string",
            Type = "string",
            Value = "string",
        },
    },
    TimeStep = "string",
    Type = "string",
    Units = "string",
});
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example, err := datarobot.NewCustomMetricJob(ctx, "customMetricJobResource", &datarobot.CustomMetricJobArgs{
	Description:          pulumi.String("string"),
	Directionality:       pulumi.String("string"),
	EgressNetworkPolicy:  pulumi.String("string"),
	EnvironmentId:        pulumi.String("string"),
	EnvironmentVersionId: pulumi.String("string"),
	Files:                pulumi.Any("any"),
	FolderPath:           pulumi.String("string"),
	IsModelSpecific:      pulumi.Bool(false),
	Name:                 pulumi.String("string"),
	ResourceBundleId:     pulumi.String("string"),
	RuntimeParameterValues: datarobot.CustomMetricJobRuntimeParameterValueArray{
		&datarobot.CustomMetricJobRuntimeParameterValueArgs{
			Key:   pulumi.String("string"),
			Type:  pulumi.String("string"),
			Value: pulumi.String("string"),
		},
	},
	TimeStep: pulumi.String("string"),
	Type:     pulumi.String("string"),
	Units:    pulumi.String("string"),
})
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var customMetricJobResource = new CustomMetricJob("customMetricJobResource", CustomMetricJobArgs.builder()
    .description("string")
    .directionality("string")
    .egressNetworkPolicy("string")
    .environmentId("string")
    .environmentVersionId("string")
    .files("any")
    .folderPath("string")
    .isModelSpecific(false)
    .name("string")
    .resourceBundleId("string")
    .runtimeParameterValues(CustomMetricJobRuntimeParameterValueArgs.builder()
        .key("string")
        .type("string")
        .value("string")
        .build())
    .timeStep("string")
    .type("string")
    .units("string")
    .build());
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custom_metric_job_resource = datarobot.CustomMetricJob("customMetricJobResource",
    description="string",
    directionality="string",
    egress_network_policy="string",
    environment_id="string",
    environment_version_id="string",
    files="any",
    folder_path="string",
    is_model_specific=False,
    name="string",
    resource_bundle_id="string",
    runtime_parameter_values=[{
        "key": "string",
        "type": "string",
        "value": "string",
    }],
    time_step="string",
    type="string",
    units="string")
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const customMetricJobResource = new datarobot.CustomMetricJob("customMetricJobResource", {
    description: "string",
    directionality: "string",
    egressNetworkPolicy: "string",
    environmentId: "string",
    environmentVersionId: "string",
    files: "any",
    folderPath: "string",
    isModelSpecific: false,
    name: "string",
    resourceBundleId: "string",
    runtimeParameterValues: [{
        key: "string",
        type: "string",
        value: "string",
    }],
    timeStep: "string",
    type: "string",
    units: "string",
});
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type: datarobot:CustomMetricJob
properties:
    description: string
    directionality: string
    egressNetworkPolicy: string
    environmentId: string
    environmentVersionId: string
    files: any
    folderPath: string
    isModelSpecific: false
    name: string
    resourceBundleId: string
    runtimeParameterValues:
        - key: string
          type: string
          value: string
    timeStep: string
    type: string
    units: string
Copy

CustomMetricJob 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 CustomMetricJob resource accepts the following input properties:

Description string
The description of the Custom Metric Job.
Directionality string
The directionality of the Custom Metric.
EgressNetworkPolicy string
The egress network policy for the Job.
EnvironmentId string
The ID of the environment to use with the Job.
EnvironmentVersionId string
The ID of the environment version to use with the Job.
Files object
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
FolderPath string
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
IsModelSpecific bool
Determines whether the metric is related to the model or deployment.
Name string
The name of the Custom Metric Job.
ResourceBundleId string
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
RuntimeParameterValues List<DataRobotCustomMetricJobRuntimeParameterValue>
Additional parameters to be injected into a Job at runtime.
TimeStep string
Custom metric time bucket size.
Type string
The aggregation type of the custom metric.
Units string
The units, or the y-axis label, of the given custom metric.
Description string
The description of the Custom Metric Job.
Directionality string
The directionality of the Custom Metric.
EgressNetworkPolicy string
The egress network policy for the Job.
EnvironmentId string
The ID of the environment to use with the Job.
EnvironmentVersionId string
The ID of the environment version to use with the Job.
Files interface{}
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
FolderPath string
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
IsModelSpecific bool
Determines whether the metric is related to the model or deployment.
Name string
The name of the Custom Metric Job.
ResourceBundleId string
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
RuntimeParameterValues []CustomMetricJobRuntimeParameterValueArgs
Additional parameters to be injected into a Job at runtime.
TimeStep string
Custom metric time bucket size.
Type string
The aggregation type of the custom metric.
Units string
The units, or the y-axis label, of the given custom metric.
description String
The description of the Custom Metric Job.
directionality String
The directionality of the Custom Metric.
egressNetworkPolicy String
The egress network policy for the Job.
environmentId String
The ID of the environment to use with the Job.
environmentVersionId String
The ID of the environment version to use with the Job.
files Object
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
folderPath String
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
isModelSpecific Boolean
Determines whether the metric is related to the model or deployment.
name String
The name of the Custom Metric Job.
resourceBundleId String
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtimeParameterValues List<CustomMetricJobRuntimeParameterValue>
Additional parameters to be injected into a Job at runtime.
timeStep String
Custom metric time bucket size.
type String
The aggregation type of the custom metric.
units String
The units, or the y-axis label, of the given custom metric.
description string
The description of the Custom Metric Job.
directionality string
The directionality of the Custom Metric.
egressNetworkPolicy string
The egress network policy for the Job.
environmentId string
The ID of the environment to use with the Job.
environmentVersionId string
The ID of the environment version to use with the Job.
files any
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
folderPath string
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
isModelSpecific boolean
Determines whether the metric is related to the model or deployment.
name string
The name of the Custom Metric Job.
resourceBundleId string
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtimeParameterValues CustomMetricJobRuntimeParameterValue[]
Additional parameters to be injected into a Job at runtime.
timeStep string
Custom metric time bucket size.
type string
The aggregation type of the custom metric.
units string
The units, or the y-axis label, of the given custom metric.
description str
The description of the Custom Metric Job.
directionality str
The directionality of the Custom Metric.
egress_network_policy str
The egress network policy for the Job.
environment_id str
The ID of the environment to use with the Job.
environment_version_id str
The ID of the environment version to use with the Job.
files Any
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
folder_path str
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
is_model_specific bool
Determines whether the metric is related to the model or deployment.
name str
The name of the Custom Metric Job.
resource_bundle_id str
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtime_parameter_values Sequence[CustomMetricJobRuntimeParameterValueArgs]
Additional parameters to be injected into a Job at runtime.
time_step str
Custom metric time bucket size.
type str
The aggregation type of the custom metric.
units str
The units, or the y-axis label, of the given custom metric.
description String
The description of the Custom Metric Job.
directionality String
The directionality of the Custom Metric.
egressNetworkPolicy String
The egress network policy for the Job.
environmentId String
The ID of the environment to use with the Job.
environmentVersionId String
The ID of the environment version to use with the Job.
files Any
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
folderPath String
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
isModelSpecific Boolean
Determines whether the metric is related to the model or deployment.
name String
The name of the Custom Metric Job.
resourceBundleId String
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtimeParameterValues List<Property Map>
Additional parameters to be injected into a Job at runtime.
timeStep String
Custom metric time bucket size.
type String
The aggregation type of the custom metric.
units String
The units, or the y-axis label, of the given custom metric.

Outputs

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

FilesHashes List<string>
The hash of file contents for each file in files.
FolderPathHash string
The hash of the folder path contents.
Id string
The provider-assigned unique ID for this managed resource.
FilesHashes []string
The hash of file contents for each file in files.
FolderPathHash string
The hash of the folder path contents.
Id string
The provider-assigned unique ID for this managed resource.
filesHashes List<String>
The hash of file contents for each file in files.
folderPathHash String
The hash of the folder path contents.
id String
The provider-assigned unique ID for this managed resource.
filesHashes string[]
The hash of file contents for each file in files.
folderPathHash string
The hash of the folder path contents.
id string
The provider-assigned unique ID for this managed resource.
files_hashes Sequence[str]
The hash of file contents for each file in files.
folder_path_hash str
The hash of the folder path contents.
id str
The provider-assigned unique ID for this managed resource.
filesHashes List<String>
The hash of file contents for each file in files.
folderPathHash String
The hash of the folder path contents.
id String
The provider-assigned unique ID for this managed resource.

Look up Existing CustomMetricJob Resource

Get an existing CustomMetricJob 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?: CustomMetricJobState, opts?: CustomResourceOptions): CustomMetricJob
@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        description: Optional[str] = None,
        directionality: Optional[str] = None,
        egress_network_policy: Optional[str] = None,
        environment_id: Optional[str] = None,
        environment_version_id: Optional[str] = None,
        files: Optional[Any] = None,
        files_hashes: Optional[Sequence[str]] = None,
        folder_path: Optional[str] = None,
        folder_path_hash: Optional[str] = None,
        is_model_specific: Optional[bool] = None,
        name: Optional[str] = None,
        resource_bundle_id: Optional[str] = None,
        runtime_parameter_values: Optional[Sequence[CustomMetricJobRuntimeParameterValueArgs]] = None,
        time_step: Optional[str] = None,
        type: Optional[str] = None,
        units: Optional[str] = None) -> CustomMetricJob
func GetCustomMetricJob(ctx *Context, name string, id IDInput, state *CustomMetricJobState, opts ...ResourceOption) (*CustomMetricJob, error)
public static CustomMetricJob Get(string name, Input<string> id, CustomMetricJobState? state, CustomResourceOptions? opts = null)
public static CustomMetricJob get(String name, Output<String> id, CustomMetricJobState state, CustomResourceOptions options)
resources:  _:    type: datarobot:CustomMetricJob    get:      id: ${id}
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
The unique provider ID of the resource to lookup.
name This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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 This property is required.
The unique name of the resulting resource.
id This property is required.
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:
Description string
The description of the Custom Metric Job.
Directionality string
The directionality of the Custom Metric.
EgressNetworkPolicy string
The egress network policy for the Job.
EnvironmentId string
The ID of the environment to use with the Job.
EnvironmentVersionId string
The ID of the environment version to use with the Job.
Files object
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
FilesHashes List<string>
The hash of file contents for each file in files.
FolderPath string
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
FolderPathHash string
The hash of the folder path contents.
IsModelSpecific bool
Determines whether the metric is related to the model or deployment.
Name string
The name of the Custom Metric Job.
ResourceBundleId string
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
RuntimeParameterValues List<DataRobotCustomMetricJobRuntimeParameterValue>
Additional parameters to be injected into a Job at runtime.
TimeStep string
Custom metric time bucket size.
Type string
The aggregation type of the custom metric.
Units string
The units, or the y-axis label, of the given custom metric.
Description string
The description of the Custom Metric Job.
Directionality string
The directionality of the Custom Metric.
EgressNetworkPolicy string
The egress network policy for the Job.
EnvironmentId string
The ID of the environment to use with the Job.
EnvironmentVersionId string
The ID of the environment version to use with the Job.
Files interface{}
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
FilesHashes []string
The hash of file contents for each file in files.
FolderPath string
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
FolderPathHash string
The hash of the folder path contents.
IsModelSpecific bool
Determines whether the metric is related to the model or deployment.
Name string
The name of the Custom Metric Job.
ResourceBundleId string
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
RuntimeParameterValues []CustomMetricJobRuntimeParameterValueArgs
Additional parameters to be injected into a Job at runtime.
TimeStep string
Custom metric time bucket size.
Type string
The aggregation type of the custom metric.
Units string
The units, or the y-axis label, of the given custom metric.
description String
The description of the Custom Metric Job.
directionality String
The directionality of the Custom Metric.
egressNetworkPolicy String
The egress network policy for the Job.
environmentId String
The ID of the environment to use with the Job.
environmentVersionId String
The ID of the environment version to use with the Job.
files Object
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
filesHashes List<String>
The hash of file contents for each file in files.
folderPath String
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
folderPathHash String
The hash of the folder path contents.
isModelSpecific Boolean
Determines whether the metric is related to the model or deployment.
name String
The name of the Custom Metric Job.
resourceBundleId String
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtimeParameterValues List<CustomMetricJobRuntimeParameterValue>
Additional parameters to be injected into a Job at runtime.
timeStep String
Custom metric time bucket size.
type String
The aggregation type of the custom metric.
units String
The units, or the y-axis label, of the given custom metric.
description string
The description of the Custom Metric Job.
directionality string
The directionality of the Custom Metric.
egressNetworkPolicy string
The egress network policy for the Job.
environmentId string
The ID of the environment to use with the Job.
environmentVersionId string
The ID of the environment version to use with the Job.
files any
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
filesHashes string[]
The hash of file contents for each file in files.
folderPath string
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
folderPathHash string
The hash of the folder path contents.
isModelSpecific boolean
Determines whether the metric is related to the model or deployment.
name string
The name of the Custom Metric Job.
resourceBundleId string
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtimeParameterValues CustomMetricJobRuntimeParameterValue[]
Additional parameters to be injected into a Job at runtime.
timeStep string
Custom metric time bucket size.
type string
The aggregation type of the custom metric.
units string
The units, or the y-axis label, of the given custom metric.
description str
The description of the Custom Metric Job.
directionality str
The directionality of the Custom Metric.
egress_network_policy str
The egress network policy for the Job.
environment_id str
The ID of the environment to use with the Job.
environment_version_id str
The ID of the environment version to use with the Job.
files Any
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
files_hashes Sequence[str]
The hash of file contents for each file in files.
folder_path str
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
folder_path_hash str
The hash of the folder path contents.
is_model_specific bool
Determines whether the metric is related to the model or deployment.
name str
The name of the Custom Metric Job.
resource_bundle_id str
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtime_parameter_values Sequence[CustomMetricJobRuntimeParameterValueArgs]
Additional parameters to be injected into a Job at runtime.
time_step str
Custom metric time bucket size.
type str
The aggregation type of the custom metric.
units str
The units, or the y-axis label, of the given custom metric.
description String
The description of the Custom Metric Job.
directionality String
The directionality of the Custom Metric.
egressNetworkPolicy String
The egress network policy for the Job.
environmentId String
The ID of the environment to use with the Job.
environmentVersionId String
The ID of the environment version to use with the Job.
files Any
The list of tuples, where values in each tuple are the local filesystem path and the path the file should be placed in the Job. If list is of strings, then basenames will be used for tuples.
filesHashes List<String>
The hash of file contents for each file in files.
folderPath String
The path to a folder containing files to be uploaded. Each file in the folder is uploaded under path relative to a folder path.
folderPathHash String
The hash of the folder path contents.
isModelSpecific Boolean
Determines whether the metric is related to the model or deployment.
name String
The name of the Custom Metric Job.
resourceBundleId String
A single identifier that represents a bundle of resources: Memory, CPU, GPU, etc.
runtimeParameterValues List<Property Map>
Additional parameters to be injected into a Job at runtime.
timeStep String
Custom metric time bucket size.
type String
The aggregation type of the custom metric.
units String
The units, or the y-axis label, of the given custom metric.

Supporting Types

CustomMetricJobRuntimeParameterValue
, CustomMetricJobRuntimeParameterValueArgs

Key This property is required. string
The name of the runtime parameter.
Type This property is required. string
The type of the runtime parameter.
Value This property is required. string
The value of the runtime parameter (type conversion is handled internally).
Key This property is required. string
The name of the runtime parameter.
Type This property is required. string
The type of the runtime parameter.
Value This property is required. string
The value of the runtime parameter (type conversion is handled internally).
key This property is required. String
The name of the runtime parameter.
type This property is required. String
The type of the runtime parameter.
value This property is required. String
The value of the runtime parameter (type conversion is handled internally).
key This property is required. string
The name of the runtime parameter.
type This property is required. string
The type of the runtime parameter.
value This property is required. string
The value of the runtime parameter (type conversion is handled internally).
key This property is required. str
The name of the runtime parameter.
type This property is required. str
The type of the runtime parameter.
value This property is required. str
The value of the runtime parameter (type conversion is handled internally).
key This property is required. String
The name of the runtime parameter.
type This property is required. String
The type of the runtime parameter.
value This property is required. String
The value of the runtime parameter (type conversion is handled internally).

Package Details

Repository
datarobot datarobot-community/pulumi-datarobot
License
Apache-2.0
Notes
This Pulumi package is based on the datarobot Terraform Provider.