ArmMachineLearningModelFactory.RollingInputData Method
Definition
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Rolling input data definition.
public static Azure.ResourceManager.MachineLearning.Models.RollingInputData RollingInputData(System.Collections.Generic.IDictionary<string,string> columns = default, string dataContext = default, Azure.ResourceManager.MachineLearning.Models.JobInputType jobInputType = default, Uri uri = default, string preprocessingComponentId = default, TimeSpan windowOffset = default, TimeSpan windowSize = default);static member RollingInputData : System.Collections.Generic.IDictionary<string, string> * string * Azure.ResourceManager.MachineLearning.Models.JobInputType * Uri * string * TimeSpan * TimeSpan -> Azure.ResourceManager.MachineLearning.Models.RollingInputDataPublic Shared Function RollingInputData (Optional columns As IDictionary(Of String, String) = Nothing, Optional dataContext As String = Nothing, Optional jobInputType As JobInputType = Nothing, Optional uri As Uri = Nothing, Optional preprocessingComponentId As String = Nothing, Optional windowOffset As TimeSpan = Nothing, Optional windowSize As TimeSpan = Nothing) As RollingInputDataParameters
- columns
- IDictionary<String,String>
Mapping of column names to special uses.
- dataContext
- String
The context metadata of the data source.
- jobInputType
- JobInputType
[Required] Specifies the type of job.
- uri
- Uri
[Required] Input Asset URI.
- preprocessingComponentId
- String
Reference to the component asset used to preprocess the data.
- windowOffset
- TimeSpan
[Required] The time offset between the end of the data window and the monitor's current run time.
- windowSize
- TimeSpan
[Required] The size of the rolling data window.
Returns
A new RollingInputData instance for mocking.
