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

Source code

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

Azure Native

getPredictionModelStatus

Using getPredictionModelStatus

getPredictionModelStatus Result

Package Details

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