ArmMachineLearningModelFactory.AutoMLVertical Method
Definition
Important
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AutoML vertical class. Base class for AutoML verticals - TableVertical/ImageVertical/NLPVertical Please note this is the abstract base class. The derived classes available for instantiation are: ClassificationTask, MachineLearningForecasting, ImageClassification, ImageClassificationMultilabel, ImageInstanceSegmentation, ImageObjectDetection, AutoMLVerticalRegression, TextClassification, TextClassificationMultilabel, and TextNer.
public static Azure.ResourceManager.MachineLearning.Models.AutoMLVertical AutoMLVertical(Azure.ResourceManager.MachineLearning.Models.MachineLearningLogVerbosity? logVerbosity = default, string targetColumnName = default, string taskType = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput trainingData = default);static member AutoMLVertical : Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningLogVerbosity> * string * string * Azure.ResourceManager.MachineLearning.Models.MachineLearningTableJobInput -> Azure.ResourceManager.MachineLearning.Models.AutoMLVerticalPublic Shared Function AutoMLVertical (Optional logVerbosity As Nullable(Of MachineLearningLogVerbosity) = Nothing, Optional targetColumnName As String = Nothing, Optional taskType As String = Nothing, Optional trainingData As MachineLearningTableJobInput = Nothing) As AutoMLVerticalParameters
- logVerbosity
- Nullable<MachineLearningLogVerbosity>
Enum for setting log verbosity.
- targetColumnName
- String
Target column name: This is prediction values column. Also known as label column name in context of classification tasks.
- taskType
- String
[Required] Task type for AutoMLJob.
- trainingData
- MachineLearningTableJobInput
[Required] Training data input.
Returns
A new AutoMLVertical instance for mocking.
