Regression interface

Package:

@azure/arm-machinelearning

Regression task in AutoML Table vertical.

Extends

AutoMLVertical

Properties

cvSplitColumnNames	Columns to use for CVSplit data.
featurizationSettings	Featurization inputs needed for AutoML job.
limitSettings	Execution constraints for AutoMLJob.
nCrossValidations	Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
primaryMetric	Primary metrics for Regression task.
taskType	[Required] Task type for AutoMLJob.
testData	Test data input.
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.
trainingSettings	Inputs for training phase for an AutoML Job.
validationData	Validation data inputs.
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.
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 Properties

logVerbosity	Enum for setting log verbosity.
targetColumnName	Target column name: This is prediction values column. Also known as label column name in context of classification tasks.
trainingData	[Required] Training data input.

Property Details

cvSplitColumnNames

Columns to use for CVSplit data.

cvSplitColumnNames?: string[]

Property Value

string[]

featurizationSettings

Featurization inputs needed for AutoML job.

featurizationSettings?: TableVerticalFeaturizationSettings

Property Value

TableVerticalFeaturizationSettings

limitSettings

Execution constraints for AutoMLJob.

limitSettings?: TableVerticalLimitSettings

Property Value

TableVerticalLimitSettings

nCrossValidations

Number of cross validation folds to be applied on training dataset when validation dataset is not provided.

nCrossValidations?: NCrossValidationsUnion

Property Value

NCrossValidationsUnion

primaryMetric

Primary metrics for Regression task.

primaryMetric?: string

Property Value

string

taskType

[Required] Task type for AutoMLJob.

taskType: "Regression"

Property Value

"Regression"

testData

Test data input.

testData?: MLTableJobInput

Property Value

MLTableJobInput

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.

testDataSize?: number

Property Value

number

trainingSettings

Inputs for training phase for an AutoML Job.

trainingSettings?: RegressionTrainingSettings

Property Value

RegressionTrainingSettings

validationData

Validation data inputs.

validationData?: MLTableJobInput

Property Value

MLTableJobInput

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.

validationDataSize?: number

Property Value

number

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.

weightColumnName?: string

Property Value

string

Inherited Property Details

logVerbosity

Enum for setting log verbosity.

logVerbosity?: string

Property Value

string

Inherited From AutoMLVertical.logVerbosity

targetColumnName

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

targetColumnName?: string

Property Value

string

Inherited From AutoMLVertical.targetColumnName

trainingData

[Required] Training data input.

trainingData: MLTableJobInput

Property Value

MLTableJobInput

Inherited From AutoMLVertical.trainingData