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

ImageClassificationResponse

data class ImageClassificationResponse(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. Multi-class image classification is used when an image is classified with only a single label from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.

Constructors

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fun ImageClassificationResponse(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

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object Companion

Properties

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val limitSettings: ImageLimitSettingsResponse

Required Limit settings for the AutoML job.

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val logVerbosity: String? = null

Log verbosity for the job.

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val modelSettings: ImageModelSettingsClassificationResponse? = null

Settings used for training the model.

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val primaryMetric: String? = null

Primary metric to optimize for this task.

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val searchSpace: List<ImageModelDistributionSettingsClassificationResponse>? = null

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

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val sweepSettings: ImageSweepSettingsResponse? = null

Model sweeping and hyperparameter sweeping related settings.

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val targetColumnName: String? = null

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

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val taskType: String

AutoMLJob Task type. Expected value is 'ImageClassification'.

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val trainingData: MLTableJobInputResponse

Required Training data input.

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val validationData: MLTableJobInputResponse? = null

Validation data inputs.

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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.