ImageClassificationMultilabel Class
Definition
Important
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Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels from a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.
public class ImageClassificationMultilabel : Azure.ResourceManager.MachineLearning.Models.AutoMLVertical, System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.ImageClassificationMultilabel>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.ImageClassificationMultilabel>public class ImageClassificationMultilabel : Azure.ResourceManager.MachineLearning.Models.AutoMLVerticaltype ImageClassificationMultilabel = class
inherit AutoMLVertical
interface IJsonModel<ImageClassificationMultilabel>
interface IPersistableModel<ImageClassificationMultilabel>type ImageClassificationMultilabel = class
inherit AutoMLVerticalPublic Class ImageClassificationMultilabel
Inherits AutoMLVertical
Implements IJsonModel(Of ImageClassificationMultilabel), IPersistableModel(Of ImageClassificationMultilabel)Public Class ImageClassificationMultilabel
Inherits AutoMLVertical- Inheritance
- Implements
Constructors
| ImageClassificationMultilabel(MachineLearningTableJobInput, ImageLimitSettings) |
Initializes a new instance of ImageClassificationMultilabel. |
Properties
| LimitSettings |
[Required] Limit settings for the AutoML job. |
| LogVerbosity |
Log verbosity for the job. (Inherited from AutoMLVertical) |
| ModelSettings |
Settings used for training the model. |
| PrimaryMetric |
Primary metric to optimize for this task. |
| SearchSpace |
Search space for sampling different combinations of models and their hyperparameters. |
| SweepSettings |
Model sweeping and hyperparameter sweeping related settings. |
| TargetColumnName |
Target column name: This is prediction values column. Also known as label column name in context of classification tasks. (Inherited from AutoMLVertical) |
| TrainingData |
[Required] Training data input. (Inherited from AutoMLVertical) |
| 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. |
