Azure Native
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:
- Hub
Name string The name of the hub.
- Prediction
Name string The name of the Prediction.
- Resource
Group stringName The name of the resource group.
- Hub
Name string The name of the hub.
- Prediction
Name string The name of the Prediction.
- Resource
Group stringName The name of the resource group.
- hub
Name String The name of the hub.
- prediction
Name String The name of the Prediction.
- resource
Group StringName The name of the resource group.
- hub
Name string The name of the hub.
- prediction
Name string The name of the Prediction.
- resource
Group stringName The name of the resource group.
- hub_
name str The name of the hub.
- prediction_
name str The name of the Prediction.
- resource_
group_ strname The name of the resource group.
- hub
Name String The name of the hub.
- prediction
Name String The name of the Prediction.
- resource
Group StringName The name of the resource group.
getPredictionModelStatus Result
The following output properties are available:
- Message string
The model status message.
- Model
Version string Version of the model.
- Prediction
Guid stringId The prediction GUID ID.
- Prediction
Name string The prediction name.
- Signals
Used 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.
- Tenant
Id string The hub name.
- Test
Set intCount Count of the test set.
- Training
Accuracy int The training accuracy.
- Training
Set intCount Count of the training set.
- Validation
Set intCount Count of the validation set.
- Message string
The model status message.
- Model
Version string Version of the model.
- Prediction
Guid stringId The prediction GUID ID.
- Prediction
Name string The prediction name.
- Signals
Used 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.
- Tenant
Id string The hub name.
- Test
Set intCount Count of the test set.
- Training
Accuracy int The training accuracy.
- Training
Set intCount Count of the training set.
- Validation
Set intCount Count of the validation set.
- message String
The model status message.
- model
Version String Version of the model.
- prediction
Guid StringId The prediction GUID ID.
- prediction
Name String The prediction name.
- signals
Used 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.
- tenant
Id String The hub name.
- test
Set IntegerCount Count of the test set.
- training
Accuracy Integer The training accuracy.
- training
Set IntegerCount Count of the training set.
- validation
Set IntegerCount Count of the validation set.
- message string
The model status message.
- model
Version string Version of the model.
- prediction
Guid stringId The prediction GUID ID.
- prediction
Name string The prediction name.
- signals
Used 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.
- tenant
Id string The hub name.
- test
Set numberCount Count of the test set.
- training
Accuracy number The training accuracy.
- training
Set numberCount Count of the training set.
- validation
Set numberCount Count of the validation set.
- message str
The model status message.
- model_
version str Version of the model.
- prediction_
guid_ strid 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_ intcount Count of the test set.
- training_
accuracy int The training accuracy.
- training_
set_ intcount Count of the training set.
- validation_
set_ intcount Count of the validation set.
- message String
The model status message.
- model
Version String Version of the model.
- prediction
Guid StringId The prediction GUID ID.
- prediction
Name String The prediction name.
- signals
Used 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.
- tenant
Id String The hub name.
- test
Set NumberCount Count of the test set.
- training
Accuracy Number The training accuracy.
- training
Set NumberCount Count of the training set.
- validation
Set NumberCount Count of the validation set.
Package Details
- Repository
- https://github.com/pulumi/pulumi-azure-native
- License
- Apache-2.0