ClassificationTask Class
Definition
Important
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Classification task in AutoML Table vertical.
public class ClassificationTask : Azure.ResourceManager.MachineLearning.Models.AutoMLVertical, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.ClassificationTask>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.ClassificationTask>public class ClassificationTask : Azure.ResourceManager.MachineLearning.Models.AutoMLVerticaltype ClassificationTask = class
inherit AutoMLVertical
interface IJsonModel<ClassificationTask>
interface IPersistableModel<ClassificationTask>type ClassificationTask = class
inherit AutoMLVerticalPublic Class ClassificationTask
Inherits AutoMLVertical
Implements IJsonModel(Of ClassificationTask), IPersistableModel(Of ClassificationTask)Public Class ClassificationTask
Inherits AutoMLVertical- Inheritance
- Implements
Constructors
| Name | Description |
|---|---|
| ClassificationTask(MachineLearningTableJobInput) |
Initializes a new instance of ClassificationTask. |
Properties
| Name | Description |
|---|---|
| CvSplitColumnNames |
Columns to use for CVSplit data. |
| FeaturizationSettings |
Featurization inputs needed for AutoML job. |
| FixedParameters |
Model/training parameters that will remain constant throughout training. |
| LimitSettings |
Execution constraints for AutoMLJob. |
| LogVerbosity |
Enum for setting log verbosity. (Inherited from AutoMLVertical) |
| NCrossValidations |
Number of cross validation folds to be applied on training dataset when validation dataset is not provided. |
| PositiveLabel |
Positive label for binary metrics calculation. |
| PrimaryMetric |
Primary metrics for classification tasks. |
| SearchSpace |
Search space for sampling different combinations of models and their hyperparameters. |
| SweepSettings |
Settings for model sweeping and hyperparameter tuning. |
| TargetColumnName |
Target column name: This is prediction values column. Also known as label column name in context of classification tasks. (Inherited from AutoMLVertical) |
| TestData |
Test data input. |
| TestDataSize |
The fraction of test dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided. |
| TrainingData |
[Required] Training data input. (Inherited from AutoMLVertical) |
| TrainingSettings |
Inputs for training phase for an AutoML Job. |
| ValidationData |
Validation data inputs. |
| ValidationDataSize |
The fraction of training dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided. |
| WeightColumnName |
The name of the sample weight column. Automated ML supports a weighted column as an input, causing rows in the data to be weighted up or down. |
