pulumi-google-native-kotlin/com.pulumi.googlenative.datalabeling.v1beta1.kotlin.inputs/GoogleCloudDatalabelingV1beta1EvaluationJobConfigArgsBuilder/inputConfig

inputConfig

@JvmName(name = "crqklmcavalpdfec")
suspend fun inputConfig(value: Output<GoogleCloudDatalabelingV1beta1InputConfigArgs>)
@JvmName(name = "ccukmetespascqqf")
suspend fun inputConfig(value: GoogleCloudDatalabelingV1beta1InputConfigArgs?)

Parameters

value

Rquired. Details for the sampled prediction input. Within this configuration, there are requirements for several fields: * dataType must be one of IMAGE, TEXT, or GENERAL_DATA. * annotationType must be one of IMAGE_CLASSIFICATION_ANNOTATION, TEXT_CLASSIFICATION_ANNOTATION, GENERAL_CLASSIFICATION_ANNOTATION, or IMAGE_BOUNDING_BOX_ANNOTATION (image object detection). * If your machine learning model performs classification, you must specify classificationMetadata.isMultiLabel. * You must specify bigquerySource (not gcsSource).

@JvmName(name = "xlktyptjabjpojfo")
suspend fun inputConfig(argument: suspend GoogleCloudDatalabelingV1beta1InputConfigArgsBuilder.() -> Unit)

Parameters

argument

Rquired. Details for the sampled prediction input. Within this configuration, there are requirements for several fields: * dataType must be one of IMAGE, TEXT, or GENERAL_DATA. * annotationType must be one of IMAGE_CLASSIFICATION_ANNOTATION, TEXT_CLASSIFICATION_ANNOTATION, GENERAL_CLASSIFICATION_ANNOTATION, or IMAGE_BOUNDING_BOX_ANNOTATION (image object detection). * If your machine learning model performs classification, you must specify classificationMetadata.isMultiLabel. * You must specify bigquerySource (not gcsSource).