ITableVertical Interface
Definition
Important
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[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TableVerticalTypeConverter))]
public interface ITableVertical : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Runtime.IJsonSerializable[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TableVerticalTypeConverter))>]
type ITableVertical = interface
interface IJsonSerializablePublic Interface ITableVertical
Implements IJsonSerializable- Derived
- Attributes
- Implements
Properties
| CvSplitColumnName |
Columns to use for CVSplit data. |
| FeaturizationSettingBlockedTransformer |
These transformers shall not be used in featurization. |
| FeaturizationSettingColumnNameAndType |
Dictionary of column name and its type (int, float, string, datetime etc). |
| FeaturizationSettingDatasetLanguage |
Dataset language, useful for the text data. |
| FeaturizationSettingEnableDnnFeaturization |
Determines whether to use Dnn based featurizers for data featurization. |
| FeaturizationSettingMode |
Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase. If 'Off' is selected then no featurization is done. If 'Custom' is selected then user can specify additional inputs to customize how featurization is done. |
| FeaturizationSettingTransformerParam |
User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor. |
| LimitSettingEnableEarlyTermination |
Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations. |
| LimitSettingExitScore |
Exit score for the AutoML job. |
| LimitSettingMaxConcurrentTrial |
Maximum Concurrent iterations. |
| LimitSettingMaxCoresPerTrial |
Max cores per iteration. |
| LimitSettingMaxTrial |
Number of iterations. |
| LimitSettingTimeout |
AutoML job timeout. |
| LimitSettingTrialTimeout |
Iteration timeout. |
| NCrossValidationMode |
[Required] Mode for determining N-Cross validations. |
| TestDataDescription |
Description for the input. |
| TestDataJobInputType |
[Required] Specifies the type of job. |
| TestDataMode |
Input Asset Delivery Mode. |
| 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. |
| TestDataUri |
[Required] Input Asset URI. |
| ValidationDataDescription |
Description for the input. |
| ValidationDataJobInputType |
[Required] Specifies the type of job. |
| ValidationDataMode |
Input Asset Delivery Mode. |
| 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. |
| ValidationDataUri |
[Required] Input Asset URI. |
| 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. |
Methods
| ToJson(JsonObject, SerializationMode) | (Inherited from IJsonSerializable) |