ImageClassificationMultilabel interface

  • Reference
Package:
@azure/arm-machinelearning

Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels from a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.

Extends

ImageClassificationBase,AutoMLVertical

Properties

primaryMetric

Primary metric to optimize for this task.
taskType

Polymorphic discriminator, which specifies the different types this object can be

Inherited Properties

limitSettings

[Required] Limit settings for the AutoML job.
logVerbosity

Log verbosity for the job.
modelSettings

Settings used for training the model.
searchSpace

Search space for sampling different combinations of models and their hyperparameters.
sweepSettings

Model sweeping and hyperparameter sweeping related settings.
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.
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.

Property Details

primaryMetric

Primary metric to optimize for this task.

primaryMetric?: string

Property Value

string

taskType

Polymorphic discriminator, which specifies the different types this object can be

taskType: "ImageClassificationMultilabel"

Property Value

"ImageClassificationMultilabel"

Inherited Property Details

limitSettings

[Required] Limit settings for the AutoML job.

limitSettings: ImageLimitSettings

Property Value

ImageLimitSettings

Inherited From ImageClassificationBase.limitSettings

logVerbosity

Log verbosity for the job.

logVerbosity?: string

Property Value

string

Inherited From AutoMLVertical.logVerbosity

modelSettings

Settings used for training the model.

modelSettings?: ImageModelSettingsClassification

Property Value

ImageModelSettingsClassification

Inherited From ImageClassificationBase.modelSettings

searchSpace

Search space for sampling different combinations of models and their hyperparameters.

searchSpace?: ImageModelDistributionSettingsClassification[]

Property Value

ImageModelDistributionSettingsClassification[]

Inherited From ImageClassificationBase.searchSpace

sweepSettings

Model sweeping and hyperparameter sweeping related settings.

sweepSettings?: ImageSweepSettings

Property Value

ImageSweepSettings

Inherited From ImageClassificationBase.sweepSettings

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

validationData

Validation data inputs.

validationData?: MLTableJobInput

Property Value

MLTableJobInput

Inherited From ImageClassificationBase.validationData

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

Inherited From ImageClassificationBase.validationDataSize