Azure Native

Pulumi Official
Package maintained by Pulumi
v1.68.2 published on Tuesday, Aug 16, 2022 by Pulumi

getPredictionModelStatus

The prediction model status. API Version: 2017-04-26.

Using getPredictionModelStatus

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getPredictionModelStatus(args: GetPredictionModelStatusArgs, opts?: InvokeOptions): Promise<GetPredictionModelStatusResult>
function getPredictionModelStatusOutput(args: GetPredictionModelStatusOutputArgs, opts?: InvokeOptions): Output<GetPredictionModelStatusResult>
def get_prediction_model_status(hub_name: Optional[str] = None,
                                prediction_name: Optional[str] = None,
                                resource_group_name: Optional[str] = None,
                                opts: Optional[InvokeOptions] = None) -> GetPredictionModelStatusResult
def get_prediction_model_status_output(hub_name: Optional[pulumi.Input[str]] = None,
                                prediction_name: Optional[pulumi.Input[str]] = None,
                                resource_group_name: Optional[pulumi.Input[str]] = None,
                                opts: Optional[InvokeOptions] = None) -> Output[GetPredictionModelStatusResult]
func GetPredictionModelStatus(ctx *Context, args *GetPredictionModelStatusArgs, opts ...InvokeOption) (*GetPredictionModelStatusResult, error)
func GetPredictionModelStatusOutput(ctx *Context, args *GetPredictionModelStatusOutputArgs, opts ...InvokeOption) GetPredictionModelStatusResultOutput

> Note: This function is named GetPredictionModelStatus in the Go SDK.

public static class GetPredictionModelStatus 
{
    public static Task<GetPredictionModelStatusResult> InvokeAsync(GetPredictionModelStatusArgs args, InvokeOptions? opts = null)
    public static Output<GetPredictionModelStatusResult> Invoke(GetPredictionModelStatusInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetPredictionModelStatusResult> getPredictionModelStatus(GetPredictionModelStatusArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
Fn::Invoke:
  Function: azure-native:customerinsights:getPredictionModelStatus
  Arguments:
    # Arguments dictionary

The following arguments are supported:

HubName string

The name of the hub.

PredictionName string

The name of the Prediction.

ResourceGroupName string

The name of the resource group.

HubName string

The name of the hub.

PredictionName string

The name of the Prediction.

ResourceGroupName string

The name of the resource group.

hubName String

The name of the hub.

predictionName String

The name of the Prediction.

resourceGroupName String

The name of the resource group.

hubName string

The name of the hub.

predictionName string

The name of the Prediction.

resourceGroupName string

The name of the resource group.

hub_name str

The name of the hub.

prediction_name str

The name of the Prediction.

resource_group_name str

The name of the resource group.

hubName String

The name of the hub.

predictionName String

The name of the Prediction.

resourceGroupName String

The name of the resource group.

getPredictionModelStatus Result

The following output properties are available:

Message string

The model status message.

ModelVersion string

Version of the model.

PredictionGuidId string

The prediction GUID ID.

PredictionName string

The prediction name.

SignalsUsed int

The signals used.

Status string

Prediction model life cycle. When prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.

TenantId string

The hub name.

TestSetCount int

Count of the test set.

TrainingAccuracy int

The training accuracy.

TrainingSetCount int

Count of the training set.

ValidationSetCount int

Count of the validation set.

Message string

The model status message.

ModelVersion string

Version of the model.

PredictionGuidId string

The prediction GUID ID.

PredictionName string

The prediction name.

SignalsUsed int

The signals used.

Status string

Prediction model life cycle. When prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.

TenantId string

The hub name.

TestSetCount int

Count of the test set.

TrainingAccuracy int

The training accuracy.

TrainingSetCount int

Count of the training set.

ValidationSetCount int

Count of the validation set.

message String

The model status message.

modelVersion String

Version of the model.

predictionGuidId String

The prediction GUID ID.

predictionName String

The prediction name.

signalsUsed Integer

The signals used.

status String

Prediction model life cycle. When prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.

tenantId String

The hub name.

testSetCount Integer

Count of the test set.

trainingAccuracy Integer

The training accuracy.

trainingSetCount Integer

Count of the training set.

validationSetCount Integer

Count of the validation set.

message string

The model status message.

modelVersion string

Version of the model.

predictionGuidId string

The prediction GUID ID.

predictionName string

The prediction name.

signalsUsed number

The signals used.

status string

Prediction model life cycle. When prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.

tenantId string

The hub name.

testSetCount number

Count of the test set.

trainingAccuracy number

The training accuracy.

trainingSetCount number

Count of the training set.

validationSetCount number

Count of the validation set.

message str

The model status message.

model_version str

Version of the model.

prediction_guid_id str

The prediction GUID ID.

prediction_name str

The prediction name.

signals_used int

The signals used.

status str

Prediction model life cycle. When prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.

tenant_id str

The hub name.

test_set_count int

Count of the test set.

training_accuracy int

The training accuracy.

training_set_count int

Count of the training set.

validation_set_count int

Count of the validation set.

message String

The model status message.

modelVersion String

Version of the model.

predictionGuidId String

The prediction GUID ID.

predictionName String

The prediction name.

signalsUsed Number

The signals used.

status String

Prediction model life cycle. When prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.

tenantId String

The hub name.

testSetCount Number

Count of the test set.

trainingAccuracy Number

The training accuracy.

trainingSetCount Number

Count of the training set.

validationSetCount Number

Count of the validation set.

Package Details

Repository
https://github.com/pulumi/pulumi-azure-native
License
Apache-2.0