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IClassification Interface

Definition

[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ClassificationTypeConverter))]
public interface IClassification : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.IAutoMlVertical, Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ITableVertical
[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ClassificationTypeConverter))>]
type IClassification = interface
    interface IJsonSerializable
    interface ITableVertical
    interface IAutoMlVertical
Public Interface IClassification
Implements IAutoMlVertical, ITableVertical
Derived
Attributes
Implements

Properties

CvSplitColumnName

Columns to use for CVSplit data.

(Inherited from ITableVertical)
FeaturizationSettingBlockedTransformer

These transformers shall not be used in featurization.

(Inherited from ITableVertical)
FeaturizationSettingColumnNameAndType

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

(Inherited from ITableVertical)
FeaturizationSettingDatasetLanguage

Dataset language, useful for the text data.

(Inherited from ITableVertical)
FeaturizationSettingEnableDnnFeaturization

Determines whether to use Dnn based featurizers for data featurization.

(Inherited from ITableVertical)
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.

(Inherited from ITableVertical)
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.

(Inherited from ITableVertical)
LimitSettingEnableEarlyTermination

Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.

(Inherited from ITableVertical)
LimitSettingExitScore

Exit score for the AutoML job.

(Inherited from ITableVertical)
LimitSettingMaxConcurrentTrial

Maximum Concurrent iterations.

(Inherited from ITableVertical)
LimitSettingMaxCoresPerTrial

Max cores per iteration.

(Inherited from ITableVertical)
LimitSettingMaxTrial

Number of iterations.

(Inherited from ITableVertical)
LimitSettingTimeout

AutoML job timeout.

(Inherited from ITableVertical)
LimitSettingTrialTimeout

Iteration timeout.

(Inherited from ITableVertical)
LogVerbosity

Log verbosity for the job.

(Inherited from IAutoMlVertical)
NCrossValidationMode

[Required] Mode for determining N-Cross validations.

(Inherited from ITableVertical)
PositiveLabel

Positive label for binary metrics calculation.

PrimaryMetric

Primary metric for the task.

TargetColumnName

Target column name: This is prediction values column. Also known as label column name in context of classification tasks.

(Inherited from IAutoMlVertical)
TaskType

[Required] Task type for AutoMLJob.

(Inherited from IAutoMlVertical)
TestDataDescription

Description for the input.

(Inherited from ITableVertical)
TestDataJobInputType

[Required] Specifies the type of job.

(Inherited from ITableVertical)
TestDataMode

Input Asset Delivery Mode.

(Inherited from ITableVertical)
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.

(Inherited from ITableVertical)
TestDataUri

[Required] Input Asset URI.

(Inherited from ITableVertical)
TrainingDataDescription

Description for the input.

(Inherited from IAutoMlVertical)
TrainingDataJobInputType

[Required] Specifies the type of job.

(Inherited from IAutoMlVertical)
TrainingDataMode

Input Asset Delivery Mode.

(Inherited from IAutoMlVertical)
TrainingDataUri

[Required] Input Asset URI.

(Inherited from IAutoMlVertical)
TrainingSettingAllowedTrainingAlgorithm

Allowed models for classification task.

TrainingSettingBlockedTrainingAlgorithm

Blocked models for classification task.

TrainingSettingEnableDnnTraining

Enable recommendation of DNN models.

TrainingSettingEnableModelExplainability

Flag to turn on explainability on best model.

TrainingSettingEnableOnnxCompatibleModel

Flag for enabling onnx compatible models.

TrainingSettingEnableStackEnsemble

Enable stack ensemble run.

TrainingSettingEnableVoteEnsemble

Enable voting ensemble run.

TrainingSettingEnsembleModelDownloadTimeout

During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded. Configure this parameter with a higher value than 300 secs, if more time is needed.

TrainingSettingStackEnsembleSettingStackMetaLearnerKWarg

Optional parameters to pass to the initializer of the meta-learner.

TrainingSettingStackEnsembleSettingStackMetaLearnerTrainPercentage

Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2.

TrainingSettingStackEnsembleSettingStackMetaLearnerType

The meta-learner is a model trained on the output of the individual heterogeneous models.

ValidationDataDescription

Description for the input.

(Inherited from ITableVertical)
ValidationDataJobInputType

[Required] Specifies the type of job.

(Inherited from ITableVertical)
ValidationDataMode

Input Asset Delivery Mode.

(Inherited from ITableVertical)
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.

(Inherited from ITableVertical)
ValidationDataUri

[Required] Input Asset URI.

(Inherited from ITableVertical)
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.

(Inherited from ITableVertical)

Methods

ToJson(JsonObject, SerializationMode) (Inherited from IJsonSerializable)

Applies to