ImageClassificationBase interface
Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
- Extends
Properties
| model |
Settings used for training the model. |
| search |
Search space for sampling different combinations of models and their hyperparameters. |
Inherited Properties
| limit |
[Required] Limit settings for the AutoML job. |
| sweep |
Model sweeping and hyperparameter sweeping related settings. |
| validation |
Validation data inputs. |
| validation |
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. |
Property Details
modelSettings
Settings used for training the model.
modelSettings?: ImageModelSettingsClassificationProperty Value
searchSpace
Search space for sampling different combinations of models and their hyperparameters.
searchSpace?: ImageModelDistributionSettingsClassification[]Property Value
Inherited Property Details
limitSettings
[Required] Limit settings for the AutoML job.
limitSettings: ImageLimitSettingsProperty Value
Inherited From ImageVertical.limitSettings
sweepSettings
Model sweeping and hyperparameter sweeping related settings.
sweepSettings?: ImageSweepSettingsProperty Value
Inherited From ImageVertical.sweepSettings
validationData
Validation data inputs.
validationData?: MLTableJobInputProperty Value
Inherited From ImageVertical.validationData
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.
validationDataSize?: numberProperty Value
number
Inherited From ImageVertical.validationDataSize