Sprog

ArmMachineLearningModelFactory.TableVerticalFeaturizationSettings Method

Definition

Namespace:
Azure.ResourceManager.MachineLearning.Models
Assembly:
Azure.ResourceManager.MachineLearning.dll
Package:
Azure.ResourceManager.MachineLearning v1.3.0
Source:
ArmMachineLearningModelFactory.cs

Featurization Configuration.

public static Azure.ResourceManager.MachineLearning.Models.TableVerticalFeaturizationSettings TableVerticalFeaturizationSettings(string datasetLanguage = default, System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.BlockedTransformer> blockedTransformers = default, System.Collections.Generic.IDictionary<string,string> columnNameAndTypes = default, bool? enableDnnFeaturization = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningFeaturizationMode? mode = default, System.Collections.Generic.IDictionary<string,System.Collections.Generic.IList<Azure.ResourceManager.MachineLearning.Models.ColumnTransformer>> transformerParams = default);
static member TableVerticalFeaturizationSettings : string * seq<Azure.ResourceManager.MachineLearning.Models.BlockedTransformer> * System.Collections.Generic.IDictionary<string, string> * Nullable<bool> * Nullable<Azure.ResourceManager.MachineLearning.Models.MachineLearningFeaturizationMode> * System.Collections.Generic.IDictionary<string, System.Collections.Generic.IList<Azure.ResourceManager.MachineLearning.Models.ColumnTransformer>> -> Azure.ResourceManager.MachineLearning.Models.TableVerticalFeaturizationSettings
Public Shared Function TableVerticalFeaturizationSettings (Optional datasetLanguage As String = Nothing, Optional blockedTransformers As IEnumerable(Of BlockedTransformer) = Nothing, Optional columnNameAndTypes As IDictionary(Of String, String) = Nothing, Optional enableDnnFeaturization As Nullable(Of Boolean) = Nothing, Optional mode As Nullable(Of MachineLearningFeaturizationMode) = Nothing, Optional transformerParams As IDictionary(Of String, IList(Of ColumnTransformer)) = Nothing) As TableVerticalFeaturizationSettings

Parameters

datasetLanguage
String

Dataset language, useful for the text data.

blockedTransformers
IEnumerable<BlockedTransformer>

These transformers shall not be used in featurization.

columnNameAndTypes
IDictionary<String,String>

Dictionary of column name and its type (int, float, string, datetime etc).

enableDnnFeaturization
Nullable<Boolean>

Determines whether to use Dnn based featurizers for data featurization.

mode
Nullable<MachineLearningFeaturizationMode>

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.

transformerParams
IDictionary<String,IList<ColumnTransformer>>

User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor.

Returns

TableVerticalFeaturizationSettings

A new TableVerticalFeaturizationSettings instance for mocking.

Applies to