AzureMachineLearningStudioFunctionBinding Class
- java.
lang. Object - com.
azure. resourcemanager. streamanalytics. models. FunctionBinding - com.
azure. resourcemanager. streamanalytics. models. AzureMachineLearningStudioFunctionBinding
- com.
- com.
public final class AzureMachineLearningStudioFunctionBinding
extends FunctionBinding
The binding to an Azure Machine Learning Studio.
Constructor Summary
| Constructor | Description |
|---|---|
| AzureMachineLearningStudioFunctionBinding() |
Creates an instance of Azure |
Method Summary
| Modifier and Type | Method and Description |
|---|---|
| String |
apiKey()
Get the api |
| Integer |
batchSize()
Get the batch |
| String |
endpoint()
Get the endpoint property: The Request-Response execute endpoint of the Azure Machine Learning Studio. |
|
static
Azure |
fromJson(JsonReader jsonReader)
Reads an instance of Azure |
|
Azure |
inputs()
Get the inputs property: The inputs for the Azure Machine Learning Studio endpoint. |
|
List<Azure |
outputs()
Get the outputs property: A list of outputs from the Azure Machine Learning Studio endpoint execution. |
|
Json |
toJson(JsonWriter jsonWriter) |
| String |
type()
Get the type property: Indicates the function binding type. |
| void |
validate()
Validates the instance. |
|
Azure |
withApiKey(String apiKey)
Set the api |
|
Azure |
withBatchSize(Integer batchSize)
Set the batch |
|
Azure |
withEndpoint(String endpoint)
Set the endpoint property: The Request-Response execute endpoint of the Azure Machine Learning Studio. |
|
Azure |
withInputs(AzureMachineLearningStudioInputs inputs)
Set the inputs property: The inputs for the Azure Machine Learning Studio endpoint. |
|
Azure |
withOutputs(List<AzureMachineLearningStudioOutputColumn> outputs)
Set the outputs property: A list of outputs from the Azure Machine Learning Studio endpoint execution. |
Methods inherited from FunctionBinding
Methods inherited from java.lang.Object
Constructor Details
AzureMachineLearningStudioFunctionBinding
public AzureMachineLearningStudioFunctionBinding()
Creates an instance of AzureMachineLearningStudioFunctionBinding class.
Method Details
apiKey
public String apiKey()
Get the apiKey property: The API key used to authenticate with Request-Response endpoint.
Returns:
batchSize
public Integer batchSize()
Get the batchSize property: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
Returns:
endpoint
public String endpoint()
Get the endpoint property: The Request-Response execute endpoint of the Azure Machine Learning Studio. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services\#request-response-service-rrs.
Returns:
fromJson
public static AzureMachineLearningStudioFunctionBinding fromJson(JsonReader jsonReader)
Reads an instance of AzureMachineLearningStudioFunctionBinding from the JsonReader.
Parameters:
Returns:
Throws:
inputs
public AzureMachineLearningStudioInputs inputs()
Get the inputs property: The inputs for the Azure Machine Learning Studio endpoint.
Returns:
outputs
public List<AzureMachineLearningStudioOutputColumn> outputs()
Get the outputs property: A list of outputs from the Azure Machine Learning Studio endpoint execution.
Returns:
toJson
public JsonWriter toJson(JsonWriter jsonWriter)
Overrides:
AzureMachineLearningStudioFunctionBinding.toJson(JsonWriter jsonWriter)Parameters:
Throws:
type
public String type()
Get the type property: Indicates the function binding type.
Overrides:
AzureMachineLearningStudioFunctionBinding.type()Returns:
validate
public void validate()
Validates the instance.
Overrides:
AzureMachineLearningStudioFunctionBinding.validate()withApiKey
public AzureMachineLearningStudioFunctionBinding withApiKey(String apiKey)
Set the apiKey property: The API key used to authenticate with Request-Response endpoint.
Parameters:
Returns:
withBatchSize
public AzureMachineLearningStudioFunctionBinding withBatchSize(Integer batchSize)
Set the batchSize property: Number between 1 and 10000 describing maximum number of rows for every Azure ML RRS execute request. Default is 1000.
Parameters:
Returns:
withEndpoint
public AzureMachineLearningStudioFunctionBinding withEndpoint(String endpoint)
Set the endpoint property: The Request-Response execute endpoint of the Azure Machine Learning Studio. Find out more here: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-consume-web-services\#request-response-service-rrs.
Parameters:
Returns:
withInputs
public AzureMachineLearningStudioFunctionBinding withInputs(AzureMachineLearningStudioInputs inputs)
Set the inputs property: The inputs for the Azure Machine Learning Studio endpoint.
Parameters:
Returns:
withOutputs
public AzureMachineLearningStudioFunctionBinding withOutputs(List<AzureMachineLearningStudioOutputColumn> outputs)
Set the outputs property: A list of outputs from the Azure Machine Learning Studio endpoint execution.
Parameters:
Returns: