TableVertical Class

Definition

Namespace:

Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401

Assembly:

Az.MachineLearningServices.private.dll

Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.

[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TableVerticalTypeConverter))]
public class TableVertical : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ITableVertical

[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TableVerticalTypeConverter))>]
type TableVertical = class
    interface ITableVertical
    interface IJsonSerializable

Public Class TableVertical
Implements ITableVertical

Inheritance

Object

TableVertical

Attributes

TypeConverterAttribute

Implements

ITableVertical IJsonSerializable

Constructors

TableVertical()

Creates an new TableVertical instance.

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

DeserializeFromDictionary(IDictionary)	Deserializes a IDictionary into an instance of TableVertical.
DeserializeFromPSObject(PSObject)	Deserializes a PSObject into an instance of TableVertical.
FromJson(JsonNode)	Deserializes a JsonNode into an instance of Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ITableVertical.
FromJsonString(String)	Creates a new instance of TableVertical, deserializing the content from a json string.
ToJson(JsonObject, SerializationMode)	Serializes this instance of TableVertical into a JsonNode.
ToJsonString()	Serializes this instance to a json string.
ToString()