pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin.outputs/ImageClassificationMultilabelResponse

ImageClassificationMultilabelResponse

data class ImageClassificationMultilabelResponse(val limitSettings: ImageLimitSettingsResponse, val logVerbosity: String? = null, val modelSettings: ImageModelSettingsClassificationResponse? = null, val primaryMetric: String? = null, val searchSpace: List<ImageModelDistributionSettingsClassificationResponse>? = null, val sweepSettings: ImageSweepSettingsResponse? = null, val targetColumnName: String? = null, val taskType: String, val trainingData: MLTableJobInputResponse, val validationData: MLTableJobInputResponse? = null, val validationDataSize: Double? = null)

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'.

Constructors

Link copied to clipboard
fun ImageClassificationMultilabelResponse(limitSettings: ImageLimitSettingsResponse, logVerbosity: String? = null, modelSettings: ImageModelSettingsClassificationResponse? = null, primaryMetric: String? = null, searchSpace: List<ImageModelDistributionSettingsClassificationResponse>? = null, sweepSettings: ImageSweepSettingsResponse? = null, targetColumnName: String? = null, taskType: String, trainingData: MLTableJobInputResponse, validationData: MLTableJobInputResponse? = null, validationDataSize: Double? = null)

Types

Link copied to clipboard
object Companion

Properties

Link copied to clipboard
val limitSettings: ImageLimitSettingsResponse

Required Limit settings for the AutoML job.

Link copied to clipboard
val logVerbosity: String? = null

Log verbosity for the job.

Link copied to clipboard
val modelSettings: ImageModelSettingsClassificationResponse? = null

Settings used for training the model.

Link copied to clipboard
val primaryMetric: String? = null

Primary metric to optimize for this task.

Link copied to clipboard
val searchSpace: List<ImageModelDistributionSettingsClassificationResponse>? = null

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

Link copied to clipboard
val sweepSettings: ImageSweepSettingsResponse? = null

Model sweeping and hyperparameter sweeping related settings.

Link copied to clipboard
val targetColumnName: String? = null

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

Link copied to clipboard
val taskType: String

AutoMLJob Task type. Expected value is 'ImageClassificationMultilabel'.

Link copied to clipboard
val trainingData: MLTableJobInputResponse

Required Training data input.

Link copied to clipboard
val validationData: MLTableJobInputResponse? = null

Validation data inputs.

Link copied to clipboard
val validationDataSize: Double? = null

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.