Package com.azure.resourcemanager.machinelearning.models

Class ImageVerticalDataSettings

java.lang.Object

com.azure.resourcemanager.machinelearning.models.DataSettings

com.azure.resourcemanager.machinelearning.models.ImageVerticalDataSettings

public final class ImageVerticalDataSettings
extends DataSettings

Collection of registered Tabular Dataset Ids and other data settings required for training and validating models.

Constructor Summary

Constructors

Constructor	Description
ImageVerticalDataSettings()

Method Summary

Modifier and Type	Method	Description
void	validate()	Validates the instance.
ImageVerticalValidationDataSettings	validationData()	Get the validationData property: Settings for the validation dataset.
ImageVerticalDataSettings	withTargetColumnName(String targetColumnName)	Set the targetColumnName property: [Required] Target column name: This is prediction values column.
ImageVerticalDataSettings	withTestData(TestDataSettings testData)	Set the testData property: Test data input.
ImageVerticalDataSettings	withTrainingData(TrainingDataSettings trainingData)	Set the trainingData property: [Required] Training data input.
ImageVerticalDataSettings	withValidationData(ImageVerticalValidationDataSettings validationData)	Set the validationData property: Settings for the validation dataset.

Methods inherited from class com.azure.resourcemanager.machinelearning.models.DataSettings

targetColumnName, testData, trainingData

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ImageVerticalDataSettings

public ImageVerticalDataSettings()

Method Detail

validationData

public ImageVerticalValidationDataSettings validationData()

Get the validationData property: Settings for the validation dataset.

Returns:

the validationData value.

withValidationData

public ImageVerticalDataSettings withValidationData(ImageVerticalValidationDataSettings validationData)

Set the validationData property: Settings for the validation dataset.

Parameters:

validationData - the validationData value to set.

Returns:

the ImageVerticalDataSettings object itself.

withTargetColumnName

public ImageVerticalDataSettings withTargetColumnName(String targetColumnName)

Set the targetColumnName property: [Required] Target column name: This is prediction values column. Also known as label column name in context of classification tasks.

Overrides:

withTargetColumnName in class DataSettings

Parameters:

targetColumnName - the targetColumnName value to set.

Returns:

the DataSettings object itself.

withTestData

public ImageVerticalDataSettings withTestData(TestDataSettings testData)

Set the testData property: Test data input.

Overrides:

withTestData in class DataSettings

Parameters:

testData - the testData value to set.

Returns:

the DataSettings object itself.

withTrainingData

public ImageVerticalDataSettings withTrainingData(TrainingDataSettings trainingData)

Set the trainingData property: [Required] Training data input.

Overrides:

withTrainingData in class DataSettings

Parameters:

trainingData - the trainingData value to set.

Returns:

the DataSettings object itself.

validate

public void validate()

Validates the instance.

Overrides:

validate in class DataSettings

Throws:

IllegalArgumentException - thrown if the instance is not valid.