DataRobot v0.8.18, Mar 27 25

DataRobot v0.8.18 published on Thursday, Mar 27, 2025 by DataRobot, Inc.

datarobot.CustomMetric

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DataRobot v0.8.18 published on Thursday, Mar 27, 2025 by DataRobot, Inc.

Example Usage

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resources:
  example:
    type: datarobot:CustomMetric
    properties:
      deploymentId: ${datarobot_deployment.example.id}
      description: example description
      units: dollars
      directionality: higherIsBetter
      type: sum
      baselineValue: 0.5
      isModelSpecific: true
      isGeospatial: false
      # Optional
      timeStep: hour
      timestamp:
        column_name: timestamp_column
        time_format: '%Y-%m-%dT%H:%M:%SZ'
      value:
        column_name: value_column
      batch:
        column_name: batch_column
      sampleCount:
        column_name: sample_count_column
      associationId:
        columnName: association_id_column
outputs:
  exampleId: ${example.id}

Create CustomMetric Resource

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

Constructor syntax

new CustomMetric(name: string, args: CustomMetricArgs, opts?: CustomResourceOptions);

@overload
def CustomMetric(resource_name: str,
                 args: CustomMetricArgs,
                 opts: Optional[ResourceOptions] = None)

@overload
def CustomMetric(resource_name: str,
                 opts: Optional[ResourceOptions] = None,
                 is_model_specific: Optional[bool] = None,
                 units: Optional[str] = None,
                 deployment_id: Optional[str] = None,
                 type: Optional[str] = None,
                 directionality: Optional[str] = None,
                 is_geospatial: Optional[bool] = None,
                 description: Optional[str] = None,
                 name: Optional[str] = None,
                 sample_count: Optional[CustomMetricSampleCountArgs] = None,
                 timestamp: Optional[CustomMetricTimestampArgs] = None,
                 baseline_value: Optional[float] = None,
                 batch: Optional[CustomMetricBatchArgs] = None,
                 value: Optional[CustomMetricValueArgs] = None)

func NewCustomMetric(ctx *Context, name string, args CustomMetricArgs, opts ...ResourceOption) (*CustomMetric, error)

public CustomMetric(string name, CustomMetricArgs args, CustomResourceOptions? opts = null)

public CustomMetric(String name, CustomMetricArgs args)
public CustomMetric(String name, CustomMetricArgs args, CustomResourceOptions options)

type: datarobot:CustomMetric
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 CustomMetricArgs: 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 CustomMetricArgs: 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 CustomMetricArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args CustomMetricArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args CustomMetricArgs: 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 customMetricResource = new Datarobot.CustomMetric("customMetricResource", new()
{
    IsModelSpecific = false,
    Units = "string",
    DeploymentId = "string",
    Type = "string",
    Directionality = "string",
    IsGeospatial = false,
    Description = "string",
    Name = "string",
    SampleCount = new Datarobot.Inputs.CustomMetricSampleCountArgs
    {
        ColumnName = "string",
    },
    Timestamp = new Datarobot.Inputs.CustomMetricTimestampArgs
    {
        ColumnName = "string",
        TimeFormat = "string",
    },
    BaselineValue = 0,
    Batch = new Datarobot.Inputs.CustomMetricBatchArgs
    {
        ColumnName = "string",
    },
    Value = new Datarobot.Inputs.CustomMetricValueArgs
    {
        ColumnName = "string",
    },
});

example, err := datarobot.NewCustomMetric(ctx, "customMetricResource", &datarobot.CustomMetricArgs{
	IsModelSpecific: pulumi.Bool(false),
	Units:           pulumi.String("string"),
	DeploymentId:    pulumi.String("string"),
	Type:            pulumi.String("string"),
	Directionality:  pulumi.String("string"),
	IsGeospatial:    pulumi.Bool(false),
	Description:     pulumi.String("string"),
	Name:            pulumi.String("string"),
	SampleCount: &datarobot.CustomMetricSampleCountArgs{
		ColumnName: pulumi.String("string"),
	},
	Timestamp: &datarobot.CustomMetricTimestampArgs{
		ColumnName: pulumi.String("string"),
		TimeFormat: pulumi.String("string"),
	},
	BaselineValue: pulumi.Float64(0),
	Batch: &datarobot.CustomMetricBatchArgs{
		ColumnName: pulumi.String("string"),
	},
	Value: &datarobot.CustomMetricValueArgs{
		ColumnName: pulumi.String("string"),
	},
})

var customMetricResource = new CustomMetric("customMetricResource", CustomMetricArgs.builder()
    .isModelSpecific(false)
    .units("string")
    .deploymentId("string")
    .type("string")
    .directionality("string")
    .isGeospatial(false)
    .description("string")
    .name("string")
    .sampleCount(CustomMetricSampleCountArgs.builder()
        .columnName("string")
        .build())
    .timestamp(CustomMetricTimestampArgs.builder()
        .columnName("string")
        .timeFormat("string")
        .build())
    .baselineValue(0)
    .batch(CustomMetricBatchArgs.builder()
        .columnName("string")
        .build())
    .value(CustomMetricValueArgs.builder()
        .columnName("string")
        .build())
    .build());

custom_metric_resource = datarobot.CustomMetric("customMetricResource",
    is_model_specific=False,
    units="string",
    deployment_id="string",
    type="string",
    directionality="string",
    is_geospatial=False,
    description="string",
    name="string",
    sample_count={
        "column_name": "string",
    },
    timestamp={
        "column_name": "string",
        "time_format": "string",
    },
    baseline_value=0,
    batch={
        "column_name": "string",
    },
    value={
        "column_name": "string",
    })

const customMetricResource = new datarobot.CustomMetric("customMetricResource", {
    isModelSpecific: false,
    units: "string",
    deploymentId: "string",
    type: "string",
    directionality: "string",
    isGeospatial: false,
    description: "string",
    name: "string",
    sampleCount: {
        columnName: "string",
    },
    timestamp: {
        columnName: "string",
        timeFormat: "string",
    },
    baselineValue: 0,
    batch: {
        columnName: "string",
    },
    value: {
        columnName: "string",
    },
});

type: datarobot:CustomMetric
properties:
    baselineValue: 0
    batch:
        columnName: string
    deploymentId: string
    description: string
    directionality: string
    isGeospatial: false
    isModelSpecific: false
    name: string
    sampleCount:
        columnName: string
    timestamp:
        columnName: string
        timeFormat: string
    type: string
    units: string
    value:
        columnName: string

CustomMetric 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 CustomMetric resource accepts the following input properties:

DeploymentId string: ID of the Deployment for the Custom Metric.
Directionality string: Directionality of the Custom Metric
IsGeospatial bool: Determines whether the metric is geospatial.
IsModelSpecific bool: Determines whether the metric is related to the model or deployment.
Type string: Aggregation type of the Custom Metric.
Units string: The units, or the y-axis label, of the given Custom Metric.
BaselineValue double: The baseline value used to add “reference dots” to the values over time chart.
Batch DataRobotCustomMetricBatch: A Custom Metric batch ID source when reading values from columnar dataset.
Description string: Description of the Custom Metric.
Name string: Name of the Custom Metric.
SampleCount DataRobotCustomMetricSampleCount: A Custom Metric sample source when reading values from columnar dataset.
Timestamp DataRobotCustomMetricTimestamp: A Custom Metric timestamp column source when reading values from columnar dataset.
Value DataRobotCustomMetricValue: A Custom Metric value source when reading values from columnar dataset.

DeploymentId string: ID of the Deployment for the Custom Metric.
Directionality string: Directionality of the Custom Metric
IsGeospatial bool: Determines whether the metric is geospatial.
IsModelSpecific bool: Determines whether the metric is related to the model or deployment.
Type string: Aggregation type of the Custom Metric.
Units string: The units, or the y-axis label, of the given Custom Metric.
BaselineValue float64: The baseline value used to add “reference dots” to the values over time chart.
Batch CustomMetricBatchArgs: A Custom Metric batch ID source when reading values from columnar dataset.
Description string: Description of the Custom Metric.
Name string: Name of the Custom Metric.
SampleCount CustomMetricSampleCountArgs: A Custom Metric sample source when reading values from columnar dataset.
Timestamp CustomMetricTimestampArgs: A Custom Metric timestamp column source when reading values from columnar dataset.
Value CustomMetricValueArgs: A Custom Metric value source when reading values from columnar dataset.

deploymentId String: ID of the Deployment for the Custom Metric.
directionality String: Directionality of the Custom Metric
isGeospatial Boolean: Determines whether the metric is geospatial.
isModelSpecific Boolean: Determines whether the metric is related to the model or deployment.
type String: Aggregation type of the Custom Metric.
units String: The units, or the y-axis label, of the given Custom Metric.
baselineValue Double: The baseline value used to add “reference dots” to the values over time chart.
batch CustomMetricBatch: A Custom Metric batch ID source when reading values from columnar dataset.
description String: Description of the Custom Metric.
name String: Name of the Custom Metric.
sampleCount CustomMetricSampleCount: A Custom Metric sample source when reading values from columnar dataset.
timestamp CustomMetricTimestamp: A Custom Metric timestamp column source when reading values from columnar dataset.
value CustomMetricValue: A Custom Metric value source when reading values from columnar dataset.

deploymentId string: ID of the Deployment for the Custom Metric.
directionality string: Directionality of the Custom Metric
isGeospatial boolean: Determines whether the metric is geospatial.
isModelSpecific boolean: Determines whether the metric is related to the model or deployment.
type string: Aggregation type of the Custom Metric.
units string: The units, or the y-axis label, of the given Custom Metric.
baselineValue number: The baseline value used to add “reference dots” to the values over time chart.
batch CustomMetricBatch: A Custom Metric batch ID source when reading values from columnar dataset.
description string: Description of the Custom Metric.
name string: Name of the Custom Metric.
sampleCount CustomMetricSampleCount: A Custom Metric sample source when reading values from columnar dataset.
timestamp CustomMetricTimestamp: A Custom Metric timestamp column source when reading values from columnar dataset.
value CustomMetricValue: A Custom Metric value source when reading values from columnar dataset.

deployment_id str: ID of the Deployment for the Custom Metric.
directionality str: Directionality of the Custom Metric
is_geospatial bool: Determines whether the metric is geospatial.
is_model_specific bool: Determines whether the metric is related to the model or deployment.
type str: Aggregation type of the Custom Metric.
units str: The units, or the y-axis label, of the given Custom Metric.
baseline_value float: The baseline value used to add “reference dots” to the values over time chart.
batch CustomMetricBatchArgs: A Custom Metric batch ID source when reading values from columnar dataset.
description str: Description of the Custom Metric.
name str: Name of the Custom Metric.
sample_count CustomMetricSampleCountArgs: A Custom Metric sample source when reading values from columnar dataset.
timestamp CustomMetricTimestampArgs: A Custom Metric timestamp column source when reading values from columnar dataset.
value CustomMetricValueArgs: A Custom Metric value source when reading values from columnar dataset.

deploymentId String: ID of the Deployment for the Custom Metric.
directionality String: Directionality of the Custom Metric
isGeospatial Boolean: Determines whether the metric is geospatial.
isModelSpecific Boolean: Determines whether the metric is related to the model or deployment.
type String: Aggregation type of the Custom Metric.
units String: The units, or the y-axis label, of the given Custom Metric.
baselineValue Number: The baseline value used to add “reference dots” to the values over time chart.
batch Property Map: A Custom Metric batch ID source when reading values from columnar dataset.
description String: Description of the Custom Metric.
name String: Name of the Custom Metric.
sampleCount Property Map: A Custom Metric sample source when reading values from columnar dataset.
timestamp Property Map: A Custom Metric timestamp column source when reading values from columnar dataset.
value Property Map: A Custom Metric value source when reading values from columnar dataset.

Outputs

All input properties are implicitly available as output properties. Additionally, the CustomMetric 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 CustomMetric Resource

Get an existing CustomMetric 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?: CustomMetricState, opts?: CustomResourceOptions): CustomMetric

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        baseline_value: Optional[float] = None,
        batch: Optional[CustomMetricBatchArgs] = None,
        deployment_id: Optional[str] = None,
        description: Optional[str] = None,
        directionality: Optional[str] = None,
        is_geospatial: Optional[bool] = None,
        is_model_specific: Optional[bool] = None,
        name: Optional[str] = None,
        sample_count: Optional[CustomMetricSampleCountArgs] = None,
        timestamp: Optional[CustomMetricTimestampArgs] = None,
        type: Optional[str] = None,
        units: Optional[str] = None,
        value: Optional[CustomMetricValueArgs] = None) -> CustomMetric

func GetCustomMetric(ctx *Context, name string, id IDInput, state *CustomMetricState, opts ...ResourceOption) (*CustomMetric, error)

public static CustomMetric Get(string name, Input<string> id, CustomMetricState? state, CustomResourceOptions? opts = null)

public static CustomMetric get(String name, Output<String> id, CustomMetricState state, CustomResourceOptions options)

resources:  _:    type: datarobot:CustomMetric    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.

The following state arguments are supported:

BaselineValue double: The baseline value used to add “reference dots” to the values over time chart.
Batch DataRobotCustomMetricBatch: A Custom Metric batch ID source when reading values from columnar dataset.
DeploymentId string: ID of the Deployment for the Custom Metric.
Description string: Description of the Custom Metric.
Directionality string: Directionality of the Custom Metric
IsGeospatial bool: Determines whether the metric is geospatial.
IsModelSpecific bool: Determines whether the metric is related to the model or deployment.
Name string: Name of the Custom Metric.
SampleCount DataRobotCustomMetricSampleCount: A Custom Metric sample source when reading values from columnar dataset.
Timestamp DataRobotCustomMetricTimestamp: A Custom Metric timestamp column source when reading values from columnar dataset.
Type string: Aggregation type of the Custom Metric.
Units string: The units, or the y-axis label, of the given Custom Metric.
Value DataRobotCustomMetricValue: A Custom Metric value source when reading values from columnar dataset.

BaselineValue float64: The baseline value used to add “reference dots” to the values over time chart.
Batch CustomMetricBatchArgs: A Custom Metric batch ID source when reading values from columnar dataset.
DeploymentId string: ID of the Deployment for the Custom Metric.
Description string: Description of the Custom Metric.
Directionality string: Directionality of the Custom Metric
IsGeospatial bool: Determines whether the metric is geospatial.
IsModelSpecific bool: Determines whether the metric is related to the model or deployment.
Name string: Name of the Custom Metric.
SampleCount CustomMetricSampleCountArgs: A Custom Metric sample source when reading values from columnar dataset.
Timestamp CustomMetricTimestampArgs: A Custom Metric timestamp column source when reading values from columnar dataset.
Type string: Aggregation type of the Custom Metric.
Units string: The units, or the y-axis label, of the given Custom Metric.
Value CustomMetricValueArgs: A Custom Metric value source when reading values from columnar dataset.

baselineValue Double: The baseline value used to add “reference dots” to the values over time chart.
batch CustomMetricBatch: A Custom Metric batch ID source when reading values from columnar dataset.
deploymentId String: ID of the Deployment for the Custom Metric.
description String: Description of the Custom Metric.
directionality String: Directionality of the Custom Metric
isGeospatial Boolean: Determines whether the metric is geospatial.
isModelSpecific Boolean: Determines whether the metric is related to the model or deployment.
name String: Name of the Custom Metric.
sampleCount CustomMetricSampleCount: A Custom Metric sample source when reading values from columnar dataset.
timestamp CustomMetricTimestamp: A Custom Metric timestamp column source when reading values from columnar dataset.
type String: Aggregation type of the Custom Metric.
units String: The units, or the y-axis label, of the given Custom Metric.
value CustomMetricValue: A Custom Metric value source when reading values from columnar dataset.

baselineValue number: The baseline value used to add “reference dots” to the values over time chart.
batch CustomMetricBatch: A Custom Metric batch ID source when reading values from columnar dataset.
deploymentId string: ID of the Deployment for the Custom Metric.
description string: Description of the Custom Metric.
directionality string: Directionality of the Custom Metric
isGeospatial boolean: Determines whether the metric is geospatial.
isModelSpecific boolean: Determines whether the metric is related to the model or deployment.
name string: Name of the Custom Metric.
sampleCount CustomMetricSampleCount: A Custom Metric sample source when reading values from columnar dataset.
timestamp CustomMetricTimestamp: A Custom Metric timestamp column source when reading values from columnar dataset.
type string: Aggregation type of the Custom Metric.
units string: The units, or the y-axis label, of the given Custom Metric.
value CustomMetricValue: A Custom Metric value source when reading values from columnar dataset.

baseline_value float: The baseline value used to add “reference dots” to the values over time chart.
batch CustomMetricBatchArgs: A Custom Metric batch ID source when reading values from columnar dataset.
deployment_id str: ID of the Deployment for the Custom Metric.
description str: Description of the Custom Metric.
directionality str: Directionality of the Custom Metric
is_geospatial bool: Determines whether the metric is geospatial.
is_model_specific bool: Determines whether the metric is related to the model or deployment.
name str: Name of the Custom Metric.
sample_count CustomMetricSampleCountArgs: A Custom Metric sample source when reading values from columnar dataset.
timestamp CustomMetricTimestampArgs: A Custom Metric timestamp column source when reading values from columnar dataset.
type str: Aggregation type of the Custom Metric.
units str: The units, or the y-axis label, of the given Custom Metric.
value CustomMetricValueArgs: A Custom Metric value source when reading values from columnar dataset.

baselineValue Number: The baseline value used to add “reference dots” to the values over time chart.
batch Property Map: A Custom Metric batch ID source when reading values from columnar dataset.
deploymentId String: ID of the Deployment for the Custom Metric.
description String: Description of the Custom Metric.
directionality String: Directionality of the Custom Metric
isGeospatial Boolean: Determines whether the metric is geospatial.
isModelSpecific Boolean: Determines whether the metric is related to the model or deployment.
name String: Name of the Custom Metric.
sampleCount Property Map: A Custom Metric sample source when reading values from columnar dataset.
timestamp Property Map: A Custom Metric timestamp column source when reading values from columnar dataset.
type String: Aggregation type of the Custom Metric.
units String: The units, or the y-axis label, of the given Custom Metric.
value Property Map: A Custom Metric value source when reading values from columnar dataset.

Supporting Types

CustomMetricBatch, CustomMetricBatchArgs

ColumnName string: Column name.

ColumnName string: Column name.

columnName String: Column name.

columnName string: Column name.

column_name str: Column name.

columnName String: Column name.

CustomMetricSampleCount, CustomMetricSampleCountArgs

ColumnName string: Column name.

ColumnName string: Column name.

columnName String: Column name.

columnName string: Column name.

column_name str: Column name.

columnName String: Column name.

CustomMetricTimestamp, CustomMetricTimestampArgs

ColumnName string: Column name.
TimeFormat string: Format.

ColumnName string: Column name.
TimeFormat string: Format.

columnName String: Column name.
timeFormat String: Format.

columnName string: Column name.
timeFormat string: Format.

column_name str: Column name.
time_format str: Format.

columnName String: Column name.
timeFormat String: Format.

CustomMetricValue, CustomMetricValueArgs

ColumnName string: Column name.

ColumnName string: Column name.

columnName String: Column name.

columnName string: Column name.

column_name str: Column name.

columnName String: Column name.

Package Details

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

DataRobot v0.8.18 published on Thursday, Mar 27, 2025 by DataRobot, Inc.

datarobot-community/pulumi-datarobot

datarobot.CustomMetric

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Example Usage

Create CustomMetric Resource

Constructor syntax

Parameters

Constructor example

CustomMetric Resource Properties

Inputs

Outputs

Look up Existing CustomMetric Resource

Supporting Types

CustomMetricBatch, CustomMetricBatchArgs

CustomMetricSampleCount, CustomMetricSampleCountArgs

CustomMetricTimestamp, CustomMetricTimestampArgs

CustomMetricValue, CustomMetricValueArgs

Package Details

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