azure-native.machinelearningservices.FeaturesetVersion
Explore with Pulumi AI
Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01-preview.
Other available API versions: 2023-06-01-preview, 2023-08-01-preview, 2023-10-01, 2024-01-01-preview, 2024-04-01, 2024-04-01-preview.
Example Usage
CreateOrUpdate Workspace Featureset Version.
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var featuresetVersion = new AzureNative.MachineLearningServices.FeaturesetVersion("featuresetVersion", new()
{
FeaturesetVersionProperties = new AzureNative.MachineLearningServices.Inputs.FeaturesetVersionArgs
{
Description = "string",
Entities = new[]
{
"string",
},
IsAnonymous = false,
IsArchived = false,
MaterializationSettings = new AzureNative.MachineLearningServices.Inputs.MaterializationSettingsArgs
{
Notification = new AzureNative.MachineLearningServices.Inputs.NotificationSettingArgs
{
EmailOn = new[]
{
AzureNative.MachineLearningServices.EmailNotificationEnableType.JobFailed,
},
Emails = new[]
{
"string",
},
},
Resource = new AzureNative.MachineLearningServices.Inputs.MaterializationComputeResourceArgs
{
InstanceType = "string",
},
Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceTriggerArgs
{
EndTime = "string",
Frequency = AzureNative.MachineLearningServices.RecurrenceFrequency.Day,
Interval = 1,
Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceScheduleArgs
{
Hours = new[]
{
1,
},
Minutes = new[]
{
1,
},
MonthDays = new[]
{
1,
},
WeekDays = new[]
{
AzureNative.MachineLearningServices.WeekDay.Monday,
},
},
StartTime = "string",
TimeZone = "string",
TriggerType = "Recurrence",
},
SparkConfiguration =
{
{ "string", "string" },
},
StoreType = AzureNative.MachineLearningServices.MaterializationStoreType.Online,
},
Properties =
{
{ "string", "string" },
},
Specification = new AzureNative.MachineLearningServices.Inputs.FeaturesetSpecificationArgs
{
Path = "string",
},
Stage = "string",
Tags =
{
{ "string", "string" },
},
},
Name = "string",
ResourceGroupName = "test-rg",
Version = "string",
WorkspaceName = "my-aml-workspace",
});
});
package main
import (
machinelearningservices "github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := machinelearningservices.NewFeaturesetVersion(ctx, "featuresetVersion", &machinelearningservices.FeaturesetVersionArgs{
FeaturesetVersionProperties: &machinelearningservices.FeaturesetVersionTypeArgs{
Description: pulumi.String("string"),
Entities: pulumi.StringArray{
pulumi.String("string"),
},
IsAnonymous: pulumi.Bool(false),
IsArchived: pulumi.Bool(false),
MaterializationSettings: &machinelearningservices.MaterializationSettingsArgs{
Notification: &machinelearningservices.NotificationSettingArgs{
EmailOn: pulumi.StringArray{
pulumi.String(machinelearningservices.EmailNotificationEnableTypeJobFailed),
},
Emails: pulumi.StringArray{
pulumi.String("string"),
},
},
Resource: &machinelearningservices.MaterializationComputeResourceArgs{
InstanceType: pulumi.String("string"),
},
Schedule: interface{}{
EndTime: pulumi.String("string"),
Frequency: pulumi.String(machinelearningservices.RecurrenceFrequencyDay),
Interval: pulumi.Int(1),
Schedule: &machinelearningservices.RecurrenceScheduleArgs{
Hours: pulumi.IntArray{
pulumi.Int(1),
},
Minutes: pulumi.IntArray{
pulumi.Int(1),
},
MonthDays: pulumi.IntArray{
pulumi.Int(1),
},
WeekDays: pulumi.StringArray{
pulumi.String(machinelearningservices.WeekDayMonday),
},
},
StartTime: pulumi.String("string"),
TimeZone: pulumi.String("string"),
TriggerType: pulumi.String("Recurrence"),
},
SparkConfiguration: pulumi.StringMap{
"string": pulumi.String("string"),
},
StoreType: pulumi.String(machinelearningservices.MaterializationStoreTypeOnline),
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Specification: &machinelearningservices.FeaturesetSpecificationArgs{
Path: pulumi.String("string"),
},
Stage: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("test-rg"),
Version: pulumi.String("string"),
WorkspaceName: pulumi.String("my-aml-workspace"),
})
if err != nil {
return err
}
return nil
})
}
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.FeaturesetVersion;
import com.pulumi.azurenative.machinelearningservices.FeaturesetVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.FeaturesetVersionArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.MaterializationSettingsArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.NotificationSettingArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.MaterializationComputeResourceArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RecurrenceTriggerArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.RecurrenceScheduleArgs;
import com.pulumi.azurenative.machinelearningservices.inputs.FeaturesetSpecificationArgs;
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 featuresetVersion = new FeaturesetVersion("featuresetVersion", FeaturesetVersionArgs.builder()
.featuresetVersionProperties(FeaturesetVersionArgs.builder()
.description("string")
.entities("string")
.isAnonymous(false)
.isArchived(false)
.materializationSettings(MaterializationSettingsArgs.builder()
.notification(NotificationSettingArgs.builder()
.emailOn("JobFailed")
.emails("string")
.build())
.resource(MaterializationComputeResourceArgs.builder()
.instanceType("string")
.build())
.schedule(RecurrenceTriggerArgs.builder()
.endTime("string")
.frequency("Day")
.interval(1)
.schedule(RecurrenceScheduleArgs.builder()
.hours(1)
.minutes(1)
.monthDays(1)
.weekDays("Monday")
.build())
.startTime("string")
.timeZone("string")
.triggerType("Recurrence")
.build())
.sparkConfiguration(Map.of("string", "string"))
.storeType("Online")
.build())
.properties(Map.of("string", "string"))
.specification(FeaturesetSpecificationArgs.builder()
.path("string")
.build())
.stage("string")
.tags(Map.of("string", "string"))
.build())
.name("string")
.resourceGroupName("test-rg")
.version("string")
.workspaceName("my-aml-workspace")
.build());
}
}
import pulumi
import pulumi_azure_native as azure_native
featureset_version = azure_native.machinelearningservices.FeaturesetVersion("featuresetVersion",
featureset_version_properties=azure_native.machinelearningservices.FeaturesetVersionArgs(
description="string",
entities=["string"],
is_anonymous=False,
is_archived=False,
materialization_settings=azure_native.machinelearningservices.MaterializationSettingsArgs(
notification=azure_native.machinelearningservices.NotificationSettingArgs(
email_on=[azure_native.machinelearningservices.EmailNotificationEnableType.JOB_FAILED],
emails=["string"],
),
resource=azure_native.machinelearningservices.MaterializationComputeResourceArgs(
instance_type="string",
),
schedule=azure_native.machinelearningservices.RecurrenceTriggerArgs(
end_time="string",
frequency=azure_native.machinelearningservices.RecurrenceFrequency.DAY,
interval=1,
schedule=azure_native.machinelearningservices.RecurrenceScheduleArgs(
hours=[1],
minutes=[1],
month_days=[1],
week_days=[azure_native.machinelearningservices.WeekDay.MONDAY],
),
start_time="string",
time_zone="string",
trigger_type="Recurrence",
),
spark_configuration={
"string": "string",
},
store_type=azure_native.machinelearningservices.MaterializationStoreType.ONLINE,
),
properties={
"string": "string",
},
specification=azure_native.machinelearningservices.FeaturesetSpecificationArgs(
path="string",
),
stage="string",
tags={
"string": "string",
},
),
name="string",
resource_group_name="test-rg",
version="string",
workspace_name="my-aml-workspace")
import * as pulumi from "@pulumi/pulumi";
import * as azure_native from "@pulumi/azure-native";
const featuresetVersion = new azure_native.machinelearningservices.FeaturesetVersion("featuresetVersion", {
featuresetVersionProperties: {
description: "string",
entities: ["string"],
isAnonymous: false,
isArchived: false,
materializationSettings: {
notification: {
emailOn: [azure_native.machinelearningservices.EmailNotificationEnableType.JobFailed],
emails: ["string"],
},
resource: {
instanceType: "string",
},
schedule: {
endTime: "string",
frequency: azure_native.machinelearningservices.RecurrenceFrequency.Day,
interval: 1,
schedule: {
hours: [1],
minutes: [1],
monthDays: [1],
weekDays: [azure_native.machinelearningservices.WeekDay.Monday],
},
startTime: "string",
timeZone: "string",
triggerType: "Recurrence",
},
sparkConfiguration: {
string: "string",
},
storeType: azure_native.machinelearningservices.MaterializationStoreType.Online,
},
properties: {
string: "string",
},
specification: {
path: "string",
},
stage: "string",
tags: {
string: "string",
},
},
name: "string",
resourceGroupName: "test-rg",
version: "string",
workspaceName: "my-aml-workspace",
});
resources:
featuresetVersion:
type: azure-native:machinelearningservices:FeaturesetVersion
properties:
featuresetVersionProperties:
description: string
entities:
- string
isAnonymous: false
isArchived: false
materializationSettings:
notification:
emailOn:
- JobFailed
emails:
- string
resource:
instanceType: string
schedule:
endTime: string
frequency: Day
interval: 1
schedule:
hours:
- 1
minutes:
- 1
monthDays:
- 1
weekDays:
- Monday
startTime: string
timeZone: string
triggerType: Recurrence
sparkConfiguration:
string: string
storeType: Online
properties:
string: string
specification:
path: string
stage: string
tags:
string: string
name: string
resourceGroupName: test-rg
version: string
workspaceName: my-aml-workspace
Create FeaturesetVersion Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new FeaturesetVersion(name: string, args: FeaturesetVersionArgs, opts?: CustomResourceOptions);
@overload
def FeaturesetVersion(resource_name: str,
args: FeaturesetVersionInitArgs,
opts: Optional[ResourceOptions] = None)
@overload
def FeaturesetVersion(resource_name: str,
opts: Optional[ResourceOptions] = None,
featureset_version_properties: Optional[FeaturesetVersionArgs] = None,
name: Optional[str] = None,
resource_group_name: Optional[str] = None,
workspace_name: Optional[str] = None,
version: Optional[str] = None)
func NewFeaturesetVersion(ctx *Context, name string, args FeaturesetVersionArgs, opts ...ResourceOption) (*FeaturesetVersion, error)
public FeaturesetVersion(string name, FeaturesetVersionArgs args, CustomResourceOptions? opts = null)
public FeaturesetVersion(String name, FeaturesetVersionArgs args)
public FeaturesetVersion(String name, FeaturesetVersionArgs args, CustomResourceOptions options)
type: azure-native:machinelearningservices:FeaturesetVersion
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 FeaturesetVersionArgs
- 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 FeaturesetVersionInitArgs
- 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 FeaturesetVersionArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args FeaturesetVersionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args FeaturesetVersionArgs
- 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 featuresetVersionResource = new AzureNative.MachineLearningServices.FeaturesetVersion("featuresetVersionResource", new()
{
FeaturesetVersionProperties = new AzureNative.MachineLearningServices.Inputs.FeaturesetVersionArgs
{
AutoDeleteSetting = new AzureNative.MachineLearningServices.Inputs.AutoDeleteSettingArgs
{
Condition = "string",
Value = "string",
},
Description = "string",
Entities = new[]
{
"string",
},
IsAnonymous = false,
IsArchived = false,
MaterializationSettings = new AzureNative.MachineLearningServices.Inputs.MaterializationSettingsArgs
{
Notification = new AzureNative.MachineLearningServices.Inputs.NotificationSettingArgs
{
EmailOn = new[]
{
"string",
},
Emails = new[]
{
"string",
},
Webhooks =
{
{ "string", new AzureNative.MachineLearningServices.Inputs.AzureDevOpsWebhookArgs
{
WebhookType = "AzureDevOps",
EventType = "string",
} },
},
},
Resource = new AzureNative.MachineLearningServices.Inputs.MaterializationComputeResourceArgs
{
InstanceType = "string",
},
Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceTriggerArgs
{
Frequency = "string",
Interval = 0,
TriggerType = "Recurrence",
EndTime = "string",
Schedule = new AzureNative.MachineLearningServices.Inputs.RecurrenceScheduleArgs
{
Hours = new[]
{
0,
},
Minutes = new[]
{
0,
},
MonthDays = new[]
{
0,
},
WeekDays = new[]
{
"string",
},
},
StartTime = "string",
TimeZone = "string",
},
SparkConfiguration =
{
{ "string", "string" },
},
StoreType = "string",
},
Properties =
{
{ "string", "string" },
},
Specification = new AzureNative.MachineLearningServices.Inputs.FeaturesetSpecificationArgs
{
Path = "string",
},
Stage = "string",
Tags =
{
{ "string", "string" },
},
},
Name = "string",
ResourceGroupName = "string",
WorkspaceName = "string",
Version = "string",
});
example, err := machinelearningservices.NewFeaturesetVersion(ctx, "featuresetVersionResource", &machinelearningservices.FeaturesetVersionArgs{
FeaturesetVersionProperties: &machinelearningservices.FeaturesetVersionTypeArgs{
AutoDeleteSetting: &machinelearningservices.AutoDeleteSettingArgs{
Condition: pulumi.String("string"),
Value: pulumi.String("string"),
},
Description: pulumi.String("string"),
Entities: pulumi.StringArray{
pulumi.String("string"),
},
IsAnonymous: pulumi.Bool(false),
IsArchived: pulumi.Bool(false),
MaterializationSettings: &machinelearningservices.MaterializationSettingsArgs{
Notification: &machinelearningservices.NotificationSettingArgs{
EmailOn: pulumi.StringArray{
pulumi.String("string"),
},
Emails: pulumi.StringArray{
pulumi.String("string"),
},
Webhooks: machinelearningservices.AzureDevOpsWebhookMap{
"string": interface{}{
WebhookType: pulumi.String("AzureDevOps"),
EventType: pulumi.String("string"),
},
},
},
Resource: &machinelearningservices.MaterializationComputeResourceArgs{
InstanceType: pulumi.String("string"),
},
Schedule: interface{}{
Frequency: pulumi.String("string"),
Interval: pulumi.Int(0),
TriggerType: pulumi.String("Recurrence"),
EndTime: pulumi.String("string"),
Schedule: &machinelearningservices.RecurrenceScheduleArgs{
Hours: pulumi.IntArray{
pulumi.Int(0),
},
Minutes: pulumi.IntArray{
pulumi.Int(0),
},
MonthDays: pulumi.IntArray{
pulumi.Int(0),
},
WeekDays: pulumi.StringArray{
pulumi.String("string"),
},
},
StartTime: pulumi.String("string"),
TimeZone: pulumi.String("string"),
},
SparkConfiguration: pulumi.StringMap{
"string": pulumi.String("string"),
},
StoreType: pulumi.String("string"),
},
Properties: pulumi.StringMap{
"string": pulumi.String("string"),
},
Specification: &machinelearningservices.FeaturesetSpecificationArgs{
Path: pulumi.String("string"),
},
Stage: pulumi.String("string"),
Tags: pulumi.StringMap{
"string": pulumi.String("string"),
},
},
Name: pulumi.String("string"),
ResourceGroupName: pulumi.String("string"),
WorkspaceName: pulumi.String("string"),
Version: pulumi.String("string"),
})
var featuresetVersionResource = new FeaturesetVersion("featuresetVersionResource", FeaturesetVersionArgs.builder()
.featuresetVersionProperties(FeaturesetVersionArgs.builder()
.autoDeleteSetting(AutoDeleteSettingArgs.builder()
.condition("string")
.value("string")
.build())
.description("string")
.entities("string")
.isAnonymous(false)
.isArchived(false)
.materializationSettings(MaterializationSettingsArgs.builder()
.notification(NotificationSettingArgs.builder()
.emailOn("string")
.emails("string")
.webhooks(Map.of("string", Map.ofEntries(
Map.entry("webhookType", "AzureDevOps"),
Map.entry("eventType", "string")
)))
.build())
.resource(MaterializationComputeResourceArgs.builder()
.instanceType("string")
.build())
.schedule(RecurrenceTriggerArgs.builder()
.frequency("string")
.interval(0)
.triggerType("Recurrence")
.endTime("string")
.schedule(RecurrenceScheduleArgs.builder()
.hours(0)
.minutes(0)
.monthDays(0)
.weekDays("string")
.build())
.startTime("string")
.timeZone("string")
.build())
.sparkConfiguration(Map.of("string", "string"))
.storeType("string")
.build())
.properties(Map.of("string", "string"))
.specification(FeaturesetSpecificationArgs.builder()
.path("string")
.build())
.stage("string")
.tags(Map.of("string", "string"))
.build())
.name("string")
.resourceGroupName("string")
.workspaceName("string")
.version("string")
.build());
featureset_version_resource = azure_native.machinelearningservices.FeaturesetVersion("featuresetVersionResource",
featureset_version_properties=azure_native.machinelearningservices.FeaturesetVersionArgs(
auto_delete_setting=azure_native.machinelearningservices.AutoDeleteSettingArgs(
condition="string",
value="string",
),
description="string",
entities=["string"],
is_anonymous=False,
is_archived=False,
materialization_settings=azure_native.machinelearningservices.MaterializationSettingsArgs(
notification=azure_native.machinelearningservices.NotificationSettingArgs(
email_on=["string"],
emails=["string"],
webhooks={
"string": azure_native.machinelearningservices.AzureDevOpsWebhookArgs(
webhook_type="AzureDevOps",
event_type="string",
),
},
),
resource=azure_native.machinelearningservices.MaterializationComputeResourceArgs(
instance_type="string",
),
schedule=azure_native.machinelearningservices.RecurrenceTriggerArgs(
frequency="string",
interval=0,
trigger_type="Recurrence",
end_time="string",
schedule=azure_native.machinelearningservices.RecurrenceScheduleArgs(
hours=[0],
minutes=[0],
month_days=[0],
week_days=["string"],
),
start_time="string",
time_zone="string",
),
spark_configuration={
"string": "string",
},
store_type="string",
),
properties={
"string": "string",
},
specification=azure_native.machinelearningservices.FeaturesetSpecificationArgs(
path="string",
),
stage="string",
tags={
"string": "string",
},
),
name="string",
resource_group_name="string",
workspace_name="string",
version="string")
const featuresetVersionResource = new azure_native.machinelearningservices.FeaturesetVersion("featuresetVersionResource", {
featuresetVersionProperties: {
autoDeleteSetting: {
condition: "string",
value: "string",
},
description: "string",
entities: ["string"],
isAnonymous: false,
isArchived: false,
materializationSettings: {
notification: {
emailOn: ["string"],
emails: ["string"],
webhooks: {
string: {
webhookType: "AzureDevOps",
eventType: "string",
},
},
},
resource: {
instanceType: "string",
},
schedule: {
frequency: "string",
interval: 0,
triggerType: "Recurrence",
endTime: "string",
schedule: {
hours: [0],
minutes: [0],
monthDays: [0],
weekDays: ["string"],
},
startTime: "string",
timeZone: "string",
},
sparkConfiguration: {
string: "string",
},
storeType: "string",
},
properties: {
string: "string",
},
specification: {
path: "string",
},
stage: "string",
tags: {
string: "string",
},
},
name: "string",
resourceGroupName: "string",
workspaceName: "string",
version: "string",
});
type: azure-native:machinelearningservices:FeaturesetVersion
properties:
featuresetVersionProperties:
autoDeleteSetting:
condition: string
value: string
description: string
entities:
- string
isAnonymous: false
isArchived: false
materializationSettings:
notification:
emailOn:
- string
emails:
- string
webhooks:
string:
eventType: string
webhookType: AzureDevOps
resource:
instanceType: string
schedule:
endTime: string
frequency: string
interval: 0
schedule:
hours:
- 0
minutes:
- 0
monthDays:
- 0
weekDays:
- string
startTime: string
timeZone: string
triggerType: Recurrence
sparkConfiguration:
string: string
storeType: string
properties:
string: string
specification:
path: string
stage: string
tags:
string: string
name: string
resourceGroupName: string
version: string
workspaceName: string
FeaturesetVersion Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The FeaturesetVersion resource accepts the following input properties:
- Featureset
Version Pulumi.Properties Azure Native. Machine Learning Services. Inputs. Featureset Version - [Required] Additional attributes of the entity.
- Name string
- Container name. This is case-sensitive.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Version string
- Version identifier. This is case-sensitive.
- Featureset
Version FeaturesetProperties Version Type Args - [Required] Additional attributes of the entity.
- Name string
- Container name. This is case-sensitive.
- Resource
Group stringName - The name of the resource group. The name is case insensitive.
- Workspace
Name string - Name of Azure Machine Learning workspace.
- Version string
- Version identifier. This is case-sensitive.
- featureset
Version FeaturesetProperties Version - [Required] Additional attributes of the entity.
- name String
- Container name. This is case-sensitive.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- version String
- Version identifier. This is case-sensitive.
- featureset
Version FeaturesetProperties Version - [Required] Additional attributes of the entity.
- name string
- Container name. This is case-sensitive.
- resource
Group stringName - The name of the resource group. The name is case insensitive.
- workspace
Name string - Name of Azure Machine Learning workspace.
- version string
- Version identifier. This is case-sensitive.
- featureset_
version_ Featuresetproperties Version Args - [Required] Additional attributes of the entity.
- name str
- Container name. This is case-sensitive.
- resource_
group_ strname - The name of the resource group. The name is case insensitive.
- workspace_
name str - Name of Azure Machine Learning workspace.
- version str
- Version identifier. This is case-sensitive.
- featureset
Version Property MapProperties - [Required] Additional attributes of the entity.
- name String
- Container name. This is case-sensitive.
- resource
Group StringName - The name of the resource group. The name is case insensitive.
- workspace
Name String - Name of Azure Machine Learning workspace.
- version String
- Version identifier. This is case-sensitive.
Outputs
All input properties are implicitly available as output properties. Additionally, the FeaturesetVersion resource produces the following output properties:
- Id string
- The provider-assigned unique ID for this managed resource.
- System
Data Pulumi.Azure Native. Machine Learning Services. Outputs. System Data Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- Type string
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- Id string
- The provider-assigned unique ID for this managed resource.
- System
Data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- Type string
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id String
- The provider-assigned unique ID for this managed resource.
- system
Data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type String
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id string
- The provider-assigned unique ID for this managed resource.
- system
Data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type string
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id str
- The provider-assigned unique ID for this managed resource.
- system_
data SystemData Response - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type str
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
- id String
- The provider-assigned unique ID for this managed resource.
- system
Data Property Map - Azure Resource Manager metadata containing createdBy and modifiedBy information.
- type String
- The type of the resource. E.g. "Microsoft.Compute/virtualMachines" or "Microsoft.Storage/storageAccounts"
Supporting Types
AutoDeleteCondition, AutoDeleteConditionArgs
- Created
Greater Than - CreatedGreaterThan
- Last
Accessed Greater Than - LastAccessedGreaterThan
- Auto
Delete Condition Created Greater Than - CreatedGreaterThan
- Auto
Delete Condition Last Accessed Greater Than - LastAccessedGreaterThan
- Created
Greater Than - CreatedGreaterThan
- Last
Accessed Greater Than - LastAccessedGreaterThan
- Created
Greater Than - CreatedGreaterThan
- Last
Accessed Greater Than - LastAccessedGreaterThan
- CREATED_GREATER_THAN
- CreatedGreaterThan
- LAST_ACCESSED_GREATER_THAN
- LastAccessedGreaterThan
- "Created
Greater Than" - CreatedGreaterThan
- "Last
Accessed Greater Than" - LastAccessedGreaterThan
AutoDeleteSetting, AutoDeleteSettingArgs
- Condition
string | Pulumi.
Azure Native. Machine Learning Services. Auto Delete Condition - When to check if an asset is expired
- Value string
- Expiration condition value.
- Condition
string | Auto
Delete Condition - When to check if an asset is expired
- Value string
- Expiration condition value.
- condition
String | Auto
Delete Condition - When to check if an asset is expired
- value String
- Expiration condition value.
- condition
string | Auto
Delete Condition - When to check if an asset is expired
- value string
- Expiration condition value.
- condition
str | Auto
Delete Condition - When to check if an asset is expired
- value str
- Expiration condition value.
- condition
String | "Created
Greater Than" | "Last Accessed Greater Than" - When to check if an asset is expired
- value String
- Expiration condition value.
AutoDeleteSettingResponse, AutoDeleteSettingResponseArgs
AzureDevOpsWebhook, AzureDevOpsWebhookArgs
- Event
Type string - Send callback on a specified notification event
- Event
Type string - Send callback on a specified notification event
- event
Type String - Send callback on a specified notification event
- event
Type string - Send callback on a specified notification event
- event_
type str - Send callback on a specified notification event
- event
Type String - Send callback on a specified notification event
AzureDevOpsWebhookResponse, AzureDevOpsWebhookResponseArgs
- Event
Type string - Send callback on a specified notification event
- Event
Type string - Send callback on a specified notification event
- event
Type String - Send callback on a specified notification event
- event
Type string - Send callback on a specified notification event
- event_
type str - Send callback on a specified notification event
- event
Type String - Send callback on a specified notification event
EmailNotificationEnableType, EmailNotificationEnableTypeArgs
- Job
Completed - JobCompleted
- Job
Failed - JobFailed
- Job
Cancelled - JobCancelled
- Email
Notification Enable Type Job Completed - JobCompleted
- Email
Notification Enable Type Job Failed - JobFailed
- Email
Notification Enable Type Job Cancelled - JobCancelled
- Job
Completed - JobCompleted
- Job
Failed - JobFailed
- Job
Cancelled - JobCancelled
- Job
Completed - JobCompleted
- Job
Failed - JobFailed
- Job
Cancelled - JobCancelled
- JOB_COMPLETED
- JobCompleted
- JOB_FAILED
- JobFailed
- JOB_CANCELLED
- JobCancelled
- "Job
Completed" - JobCompleted
- "Job
Failed" - JobFailed
- "Job
Cancelled" - JobCancelled
FeaturesetSpecification, FeaturesetSpecificationArgs
- Path string
- Specifies the spec path
- Path string
- Specifies the spec path
- path String
- Specifies the spec path
- path string
- Specifies the spec path
- path str
- Specifies the spec path
- path String
- Specifies the spec path
FeaturesetSpecificationResponse, FeaturesetSpecificationResponseArgs
- Path string
- Specifies the spec path
- Path string
- Specifies the spec path
- path String
- Specifies the spec path
- path string
- Specifies the spec path
- path str
- Specifies the spec path
- path String
- Specifies the spec path
FeaturesetVersion, FeaturesetVersionArgs
- Auto
Delete Pulumi.Setting Azure Native. Machine Learning Services. Inputs. Auto Delete Setting - Specifies the lifecycle setting of managed data asset.
- Description string
- The asset description text.
- Entities List<string>
- Specifies list of entities
- Is
Anonymous bool - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- Is
Archived bool - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- Materialization
Settings Pulumi.Azure Native. Machine Learning Services. Inputs. Materialization Settings - Specifies the materialization settings
- Properties Dictionary<string, string>
- The asset property dictionary.
- Specification
Pulumi.
Azure Native. Machine Learning Services. Inputs. Featureset Specification - Specifies the feature spec details
- Stage string
- Specifies the asset stage
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Auto
Delete AutoSetting Delete Setting - Specifies the lifecycle setting of managed data asset.
- Description string
- The asset description text.
- Entities []string
- Specifies list of entities
- Is
Anonymous bool - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- Is
Archived bool - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- Materialization
Settings MaterializationSettings - Specifies the materialization settings
- Properties map[string]string
- The asset property dictionary.
- Specification
Featureset
Specification - Specifies the feature spec details
- Stage string
- Specifies the asset stage
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- auto
Delete AutoSetting Delete Setting - Specifies the lifecycle setting of managed data asset.
- description String
- The asset description text.
- entities List<String>
- Specifies list of entities
- is
Anonymous Boolean - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is
Archived Boolean - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization
Settings MaterializationSettings - Specifies the materialization settings
- properties Map<String,String>
- The asset property dictionary.
- specification
Featureset
Specification - Specifies the feature spec details
- stage String
- Specifies the asset stage
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- auto
Delete AutoSetting Delete Setting - Specifies the lifecycle setting of managed data asset.
- description string
- The asset description text.
- entities string[]
- Specifies list of entities
- is
Anonymous boolean - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is
Archived boolean - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization
Settings MaterializationSettings - Specifies the materialization settings
- properties {[key: string]: string}
- The asset property dictionary.
- specification
Featureset
Specification - Specifies the feature spec details
- stage string
- Specifies the asset stage
- {[key: string]: string}
- Tag dictionary. Tags can be added, removed, and updated.
- auto_
delete_ Autosetting Delete Setting - Specifies the lifecycle setting of managed data asset.
- description str
- The asset description text.
- entities Sequence[str]
- Specifies list of entities
- is_
anonymous bool - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is_
archived bool - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization_
settings MaterializationSettings - Specifies the materialization settings
- properties Mapping[str, str]
- The asset property dictionary.
- specification
Featureset
Specification - Specifies the feature spec details
- stage str
- Specifies the asset stage
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- auto
Delete Property MapSetting - Specifies the lifecycle setting of managed data asset.
- description String
- The asset description text.
- entities List<String>
- Specifies list of entities
- is
Anonymous Boolean - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is
Archived Boolean - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization
Settings Property Map - Specifies the materialization settings
- properties Map<String>
- The asset property dictionary.
- specification Property Map
- Specifies the feature spec details
- stage String
- Specifies the asset stage
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
FeaturesetVersionResponse, FeaturesetVersionResponseArgs
- Provisioning
State string - Provisioning state for the featureset version container.
- Auto
Delete Pulumi.Setting Azure Native. Machine Learning Services. Inputs. Auto Delete Setting Response - Specifies the lifecycle setting of managed data asset.
- Description string
- The asset description text.
- Entities List<string>
- Specifies list of entities
- Is
Anonymous bool - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- Is
Archived bool - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- Materialization
Settings Pulumi.Azure Native. Machine Learning Services. Inputs. Materialization Settings Response - Specifies the materialization settings
- Properties Dictionary<string, string>
- The asset property dictionary.
- Specification
Pulumi.
Azure Native. Machine Learning Services. Inputs. Featureset Specification Response - Specifies the feature spec details
- Stage string
- Specifies the asset stage
- Dictionary<string, string>
- Tag dictionary. Tags can be added, removed, and updated.
- Provisioning
State string - Provisioning state for the featureset version container.
- Auto
Delete AutoSetting Delete Setting Response - Specifies the lifecycle setting of managed data asset.
- Description string
- The asset description text.
- Entities []string
- Specifies list of entities
- Is
Anonymous bool - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- Is
Archived bool - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- Materialization
Settings MaterializationSettings Response - Specifies the materialization settings
- Properties map[string]string
- The asset property dictionary.
- Specification
Featureset
Specification Response - Specifies the feature spec details
- Stage string
- Specifies the asset stage
- map[string]string
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning
State String - Provisioning state for the featureset version container.
- auto
Delete AutoSetting Delete Setting Response - Specifies the lifecycle setting of managed data asset.
- description String
- The asset description text.
- entities List<String>
- Specifies list of entities
- is
Anonymous Boolean - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is
Archived Boolean - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization
Settings MaterializationSettings Response - Specifies the materialization settings
- properties Map<String,String>
- The asset property dictionary.
- specification
Featureset
Specification Response - Specifies the feature spec details
- stage String
- Specifies the asset stage
- Map<String,String>
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning
State string - Provisioning state for the featureset version container.
- auto
Delete AutoSetting Delete Setting Response - Specifies the lifecycle setting of managed data asset.
- description string
- The asset description text.
- entities string[]
- Specifies list of entities
- is
Anonymous boolean - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is
Archived boolean - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization
Settings MaterializationSettings Response - Specifies the materialization settings
- properties {[key: string]: string}
- The asset property dictionary.
- specification
Featureset
Specification Response - Specifies the feature spec details
- stage string
- Specifies the asset stage
- {[key: string]: string}
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning_
state str - Provisioning state for the featureset version container.
- auto_
delete_ Autosetting Delete Setting Response - Specifies the lifecycle setting of managed data asset.
- description str
- The asset description text.
- entities Sequence[str]
- Specifies list of entities
- is_
anonymous bool - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is_
archived bool - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization_
settings MaterializationSettings Response - Specifies the materialization settings
- properties Mapping[str, str]
- The asset property dictionary.
- specification
Featureset
Specification Response - Specifies the feature spec details
- stage str
- Specifies the asset stage
- Mapping[str, str]
- Tag dictionary. Tags can be added, removed, and updated.
- provisioning
State String - Provisioning state for the featureset version container.
- auto
Delete Property MapSetting - Specifies the lifecycle setting of managed data asset.
- description String
- The asset description text.
- entities List<String>
- Specifies list of entities
- is
Anonymous Boolean - If the name version are system generated (anonymous registration). For types where Stage is defined, when Stage is provided it will be used to populate IsAnonymous
- is
Archived Boolean - Is the asset archived? For types where Stage is defined, when Stage is provided it will be used to populate IsArchived
- materialization
Settings Property Map - Specifies the materialization settings
- properties Map<String>
- The asset property dictionary.
- specification Property Map
- Specifies the feature spec details
- stage String
- Specifies the asset stage
- Map<String>
- Tag dictionary. Tags can be added, removed, and updated.
MaterializationComputeResource, MaterializationComputeResourceArgs
- Instance
Type string - Specifies the instance type
- Instance
Type string - Specifies the instance type
- instance
Type String - Specifies the instance type
- instance
Type string - Specifies the instance type
- instance_
type str - Specifies the instance type
- instance
Type String - Specifies the instance type
MaterializationComputeResourceResponse, MaterializationComputeResourceResponseArgs
- Instance
Type string - Specifies the instance type
- Instance
Type string - Specifies the instance type
- instance
Type String - Specifies the instance type
- instance
Type string - Specifies the instance type
- instance_
type str - Specifies the instance type
- instance
Type String - Specifies the instance type
MaterializationSettings, MaterializationSettingsArgs
- Notification
Pulumi.
Azure Native. Machine Learning Services. Inputs. Notification Setting - Specifies the notification details
- Resource
Pulumi.
Azure Native. Machine Learning Services. Inputs. Materialization Compute Resource - Specifies the compute resource settings
- Schedule
Pulumi.
Azure Native. Machine Learning Services. Inputs. Recurrence Trigger - Specifies the schedule details
- Spark
Configuration Dictionary<string, string> - Specifies the spark compute settings
- Store
Type string | Pulumi.Azure Native. Machine Learning Services. Materialization Store Type - Specifies the stores to which materialization should happen
- Notification
Notification
Setting - Specifies the notification details
- Resource
Materialization
Compute Resource - Specifies the compute resource settings
- Schedule
Recurrence
Trigger - Specifies the schedule details
- Spark
Configuration map[string]string - Specifies the spark compute settings
- Store
Type string | MaterializationStore Type - Specifies the stores to which materialization should happen
- notification
Notification
Setting - Specifies the notification details
- resource
Materialization
Compute Resource - Specifies the compute resource settings
- schedule
Recurrence
Trigger - Specifies the schedule details
- spark
Configuration Map<String,String> - Specifies the spark compute settings
- store
Type String | MaterializationStore Type - Specifies the stores to which materialization should happen
- notification
Notification
Setting - Specifies the notification details
- resource
Materialization
Compute Resource - Specifies the compute resource settings
- schedule
Recurrence
Trigger - Specifies the schedule details
- spark
Configuration {[key: string]: string} - Specifies the spark compute settings
- store
Type string | MaterializationStore Type - Specifies the stores to which materialization should happen
- notification
Notification
Setting - Specifies the notification details
- resource
Materialization
Compute Resource - Specifies the compute resource settings
- schedule
Recurrence
Trigger - Specifies the schedule details
- spark_
configuration Mapping[str, str] - Specifies the spark compute settings
- store_
type str | MaterializationStore Type - Specifies the stores to which materialization should happen
- notification Property Map
- Specifies the notification details
- resource Property Map
- Specifies the compute resource settings
- schedule Property Map
- Specifies the schedule details
- spark
Configuration Map<String> - Specifies the spark compute settings
- store
Type String | "None" | "Online" | "Offline" | "OnlineAnd Offline" - Specifies the stores to which materialization should happen
MaterializationSettingsResponse, MaterializationSettingsResponseArgs
- Notification
Pulumi.
Azure Native. Machine Learning Services. Inputs. Notification Setting Response - Specifies the notification details
- Resource
Pulumi.
Azure Native. Machine Learning Services. Inputs. Materialization Compute Resource Response - Specifies the compute resource settings
- Schedule
Pulumi.
Azure Native. Machine Learning Services. Inputs. Recurrence Trigger Response - Specifies the schedule details
- Spark
Configuration Dictionary<string, string> - Specifies the spark compute settings
- Store
Type string - Specifies the stores to which materialization should happen
- Notification
Notification
Setting Response - Specifies the notification details
- Resource
Materialization
Compute Resource Response - Specifies the compute resource settings
- Schedule
Recurrence
Trigger Response - Specifies the schedule details
- Spark
Configuration map[string]string - Specifies the spark compute settings
- Store
Type string - Specifies the stores to which materialization should happen
- notification
Notification
Setting Response - Specifies the notification details
- resource
Materialization
Compute Resource Response - Specifies the compute resource settings
- schedule
Recurrence
Trigger Response - Specifies the schedule details
- spark
Configuration Map<String,String> - Specifies the spark compute settings
- store
Type String - Specifies the stores to which materialization should happen
- notification
Notification
Setting Response - Specifies the notification details
- resource
Materialization
Compute Resource Response - Specifies the compute resource settings
- schedule
Recurrence
Trigger Response - Specifies the schedule details
- spark
Configuration {[key: string]: string} - Specifies the spark compute settings
- store
Type string - Specifies the stores to which materialization should happen
- notification
Notification
Setting Response - Specifies the notification details
- resource
Materialization
Compute Resource Response - Specifies the compute resource settings
- schedule
Recurrence
Trigger Response - Specifies the schedule details
- spark_
configuration Mapping[str, str] - Specifies the spark compute settings
- store_
type str - Specifies the stores to which materialization should happen
- notification Property Map
- Specifies the notification details
- resource Property Map
- Specifies the compute resource settings
- schedule Property Map
- Specifies the schedule details
- spark
Configuration Map<String> - Specifies the spark compute settings
- store
Type String - Specifies the stores to which materialization should happen
MaterializationStoreType, MaterializationStoreTypeArgs
- None
- None
- Online
- Online
- Offline
- Offline
- Online
And Offline - OnlineAndOffline
- Materialization
Store Type None - None
- Materialization
Store Type Online - Online
- Materialization
Store Type Offline - Offline
- Materialization
Store Type Online And Offline - OnlineAndOffline
- None
- None
- Online
- Online
- Offline
- Offline
- Online
And Offline - OnlineAndOffline
- None
- None
- Online
- Online
- Offline
- Offline
- Online
And Offline - OnlineAndOffline
- NONE
- None
- ONLINE
- Online
- OFFLINE
- Offline
- ONLINE_AND_OFFLINE
- OnlineAndOffline
- "None"
- None
- "Online"
- Online
- "Offline"
- Offline
- "Online
And Offline" - OnlineAndOffline
NotificationSetting, NotificationSettingArgs
- Email
On List<Union<string, Pulumi.Azure Native. Machine Learning Services. Email Notification Enable Type>> - Send email notification to user on specified notification type
- Emails List<string>
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- Webhooks
Dictionary<string, Pulumi.
Azure Native. Machine Learning Services. Inputs. Azure Dev Ops Webhook> - Send webhook callback to a service. Key is a user-provided name for the webhook.
- Email
On []string - Send email notification to user on specified notification type
- Emails []string
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- Webhooks
map[string]Azure
Dev Ops Webhook - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email
On List<Either<String,EmailNotification Enable Type>> - Send email notification to user on specified notification type
- emails List<String>
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks
Map<String,Azure
Dev Ops Webhook> - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email
On (string | EmailNotification Enable Type)[] - Send email notification to user on specified notification type
- emails string[]
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks
{[key: string]: Azure
Dev Ops Webhook} - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email_
on Sequence[Union[str, EmailNotification Enable Type]] - Send email notification to user on specified notification type
- emails Sequence[str]
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks
Mapping[str, Azure
Dev Ops Webhook] - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email
On List<String | "JobCompleted" | "Job Failed" | "Job Cancelled"> - Send email notification to user on specified notification type
- emails List<String>
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks Map<Property Map>
- Send webhook callback to a service. Key is a user-provided name for the webhook.
NotificationSettingResponse, NotificationSettingResponseArgs
- Email
On List<string> - Send email notification to user on specified notification type
- Emails List<string>
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- Webhooks
Dictionary<string, Pulumi.
Azure Native. Machine Learning Services. Inputs. Azure Dev Ops Webhook Response> - Send webhook callback to a service. Key is a user-provided name for the webhook.
- Email
On []string - Send email notification to user on specified notification type
- Emails []string
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- Webhooks
map[string]Azure
Dev Ops Webhook Response - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email
On List<String> - Send email notification to user on specified notification type
- emails List<String>
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks
Map<String,Azure
Dev Ops Webhook Response> - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email
On string[] - Send email notification to user on specified notification type
- emails string[]
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks
{[key: string]: Azure
Dev Ops Webhook Response} - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email_
on Sequence[str] - Send email notification to user on specified notification type
- emails Sequence[str]
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks
Mapping[str, Azure
Dev Ops Webhook Response] - Send webhook callback to a service. Key is a user-provided name for the webhook.
- email
On List<String> - Send email notification to user on specified notification type
- emails List<String>
- This is the email recipient list which has a limitation of 499 characters in total concat with comma separator
- webhooks Map<Property Map>
- Send webhook callback to a service. Key is a user-provided name for the webhook.
RecurrenceFrequency, RecurrenceFrequencyArgs
- Minute
- MinuteMinute frequency
- Hour
- HourHour frequency
- Day
- DayDay frequency
- Week
- WeekWeek frequency
- Month
- MonthMonth frequency
- Recurrence
Frequency Minute - MinuteMinute frequency
- Recurrence
Frequency Hour - HourHour frequency
- Recurrence
Frequency Day - DayDay frequency
- Recurrence
Frequency Week - WeekWeek frequency
- Recurrence
Frequency Month - MonthMonth frequency
- Minute
- MinuteMinute frequency
- Hour
- HourHour frequency
- Day
- DayDay frequency
- Week
- WeekWeek frequency
- Month
- MonthMonth frequency
- Minute
- MinuteMinute frequency
- Hour
- HourHour frequency
- Day
- DayDay frequency
- Week
- WeekWeek frequency
- Month
- MonthMonth frequency
- MINUTE
- MinuteMinute frequency
- HOUR
- HourHour frequency
- DAY
- DayDay frequency
- WEEK
- WeekWeek frequency
- MONTH
- MonthMonth frequency
- "Minute"
- MinuteMinute frequency
- "Hour"
- HourHour frequency
- "Day"
- DayDay frequency
- "Week"
- WeekWeek frequency
- "Month"
- MonthMonth frequency
RecurrenceSchedule, RecurrenceScheduleArgs
- hours Sequence[int]
- [Required] List of hours for the schedule.
- minutes Sequence[int]
- [Required] List of minutes for the schedule.
- month_
days Sequence[int] - List of month days for the schedule
- week_
days Sequence[Union[str, WeekDay]] - List of days for the schedule.
- hours List<Number>
- [Required] List of hours for the schedule.
- minutes List<Number>
- [Required] List of minutes for the schedule.
- month
Days List<Number> - List of month days for the schedule
- week
Days List<String | "Monday" | "Tuesday" | "Wednesday" | "Thursday" | "Friday" | "Saturday" | "Sunday"> - List of days for the schedule.
RecurrenceScheduleResponse, RecurrenceScheduleResponseArgs
- hours Sequence[int]
- [Required] List of hours for the schedule.
- minutes Sequence[int]
- [Required] List of minutes for the schedule.
- month_
days Sequence[int] - List of month days for the schedule
- week_
days Sequence[str] - List of days for the schedule.
RecurrenceTrigger, RecurrenceTriggerArgs
- Frequency
string | Pulumi.
Azure Native. Machine Learning Services. Recurrence Frequency - [Required] The frequency to trigger schedule.
- Interval int
- [Required] Specifies schedule interval in conjunction with frequency
- End
Time string - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- Schedule
Pulumi.
Azure Native. Machine Learning Services. Inputs. Recurrence Schedule - The recurrence schedule.
- Start
Time string - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- Time
Zone string - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- Frequency
string | Recurrence
Frequency - [Required] The frequency to trigger schedule.
- Interval int
- [Required] Specifies schedule interval in conjunction with frequency
- End
Time string - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- Schedule
Recurrence
Schedule - The recurrence schedule.
- Start
Time string - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- Time
Zone string - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency
String | Recurrence
Frequency - [Required] The frequency to trigger schedule.
- interval Integer
- [Required] Specifies schedule interval in conjunction with frequency
- end
Time String - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule
Recurrence
Schedule - The recurrence schedule.
- start
Time String - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time
Zone String - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency
string | Recurrence
Frequency - [Required] The frequency to trigger schedule.
- interval number
- [Required] Specifies schedule interval in conjunction with frequency
- end
Time string - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule
Recurrence
Schedule - The recurrence schedule.
- start
Time string - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time
Zone string - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency
str | Recurrence
Frequency - [Required] The frequency to trigger schedule.
- interval int
- [Required] Specifies schedule interval in conjunction with frequency
- end_
time str - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule
Recurrence
Schedule - The recurrence schedule.
- start_
time str - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time_
zone str - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency String | "Minute" | "Hour" | "Day" | "Week" | "Month"
- [Required] The frequency to trigger schedule.
- interval Number
- [Required] Specifies schedule interval in conjunction with frequency
- end
Time String - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule Property Map
- The recurrence schedule.
- start
Time String - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time
Zone String - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
RecurrenceTriggerResponse, RecurrenceTriggerResponseArgs
- Frequency string
- [Required] The frequency to trigger schedule.
- Interval int
- [Required] Specifies schedule interval in conjunction with frequency
- End
Time string - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- Schedule
Pulumi.
Azure Native. Machine Learning Services. Inputs. Recurrence Schedule Response - The recurrence schedule.
- Start
Time string - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- Time
Zone string - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- Frequency string
- [Required] The frequency to trigger schedule.
- Interval int
- [Required] Specifies schedule interval in conjunction with frequency
- End
Time string - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- Schedule
Recurrence
Schedule Response - The recurrence schedule.
- Start
Time string - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- Time
Zone string - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency String
- [Required] The frequency to trigger schedule.
- interval Integer
- [Required] Specifies schedule interval in conjunction with frequency
- end
Time String - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule
Recurrence
Schedule Response - The recurrence schedule.
- start
Time String - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time
Zone String - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency string
- [Required] The frequency to trigger schedule.
- interval number
- [Required] Specifies schedule interval in conjunction with frequency
- end
Time string - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule
Recurrence
Schedule Response - The recurrence schedule.
- start
Time string - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time
Zone string - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency str
- [Required] The frequency to trigger schedule.
- interval int
- [Required] Specifies schedule interval in conjunction with frequency
- end_
time str - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule
Recurrence
Schedule Response - The recurrence schedule.
- start_
time str - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time_
zone str - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
- frequency String
- [Required] The frequency to trigger schedule.
- interval Number
- [Required] Specifies schedule interval in conjunction with frequency
- end
Time String - Specifies end time of schedule in ISO 8601, but without a UTC offset. Refer https://en.wikipedia.org/wiki/ISO_8601. Recommented format would be "2022-06-01T00:00:01" If not present, the schedule will run indefinitely
- schedule Property Map
- The recurrence schedule.
- start
Time String - Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
- time
Zone String - Specifies time zone in which the schedule runs. TimeZone should follow Windows time zone format. Refer: https://docs.microsoft.com/en-us/windows-hardware/manufacture/desktop/default-time-zones?view=windows-11
SystemDataResponse, SystemDataResponseArgs
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- Created
At string - The timestamp of resource creation (UTC).
- Created
By string - The identity that created the resource.
- Created
By stringType - The type of identity that created the resource.
- Last
Modified stringAt - The timestamp of resource last modification (UTC)
- Last
Modified stringBy - The identity that last modified the resource.
- Last
Modified stringBy Type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
- created
At string - The timestamp of resource creation (UTC).
- created
By string - The identity that created the resource.
- created
By stringType - The type of identity that created the resource.
- last
Modified stringAt - The timestamp of resource last modification (UTC)
- last
Modified stringBy - The identity that last modified the resource.
- last
Modified stringBy Type - The type of identity that last modified the resource.
- created_
at str - The timestamp of resource creation (UTC).
- created_
by str - The identity that created the resource.
- created_
by_ strtype - The type of identity that created the resource.
- last_
modified_ strat - The timestamp of resource last modification (UTC)
- last_
modified_ strby - The identity that last modified the resource.
- last_
modified_ strby_ type - The type of identity that last modified the resource.
- created
At String - The timestamp of resource creation (UTC).
- created
By String - The identity that created the resource.
- created
By StringType - The type of identity that created the resource.
- last
Modified StringAt - The timestamp of resource last modification (UTC)
- last
Modified StringBy - The identity that last modified the resource.
- last
Modified StringBy Type - The type of identity that last modified the resource.
WeekDay, WeekDayArgs
- Monday
- MondayMonday weekday
- Tuesday
- TuesdayTuesday weekday
- Wednesday
- WednesdayWednesday weekday
- Thursday
- ThursdayThursday weekday
- Friday
- FridayFriday weekday
- Saturday
- SaturdaySaturday weekday
- Sunday
- SundaySunday weekday
- Week
Day Monday - MondayMonday weekday
- Week
Day Tuesday - TuesdayTuesday weekday
- Week
Day Wednesday - WednesdayWednesday weekday
- Week
Day Thursday - ThursdayThursday weekday
- Week
Day Friday - FridayFriday weekday
- Week
Day Saturday - SaturdaySaturday weekday
- Week
Day Sunday - SundaySunday weekday
- Monday
- MondayMonday weekday
- Tuesday
- TuesdayTuesday weekday
- Wednesday
- WednesdayWednesday weekday
- Thursday
- ThursdayThursday weekday
- Friday
- FridayFriday weekday
- Saturday
- SaturdaySaturday weekday
- Sunday
- SundaySunday weekday
- Monday
- MondayMonday weekday
- Tuesday
- TuesdayTuesday weekday
- Wednesday
- WednesdayWednesday weekday
- Thursday
- ThursdayThursday weekday
- Friday
- FridayFriday weekday
- Saturday
- SaturdaySaturday weekday
- Sunday
- SundaySunday weekday
- MONDAY
- MondayMonday weekday
- TUESDAY
- TuesdayTuesday weekday
- WEDNESDAY
- WednesdayWednesday weekday
- THURSDAY
- ThursdayThursday weekday
- FRIDAY
- FridayFriday weekday
- SATURDAY
- SaturdaySaturday weekday
- SUNDAY
- SundaySunday weekday
- "Monday"
- MondayMonday weekday
- "Tuesday"
- TuesdayTuesday weekday
- "Wednesday"
- WednesdayWednesday weekday
- "Thursday"
- ThursdayThursday weekday
- "Friday"
- FridayFriday weekday
- "Saturday"
- SaturdaySaturday weekday
- "Sunday"
- SundaySunday weekday
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearningservices:FeaturesetVersion string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/featuresets/{name}/versions/{version}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Azure Native pulumi/pulumi-azure-native
- License
- Apache-2.0