com.pulumi.awsnative.sagemaker.kotlin.outputs.ModelQualityJobDefinitionBatchTransformInput.kt Maven / Gradle / Ivy

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.awsnative.sagemaker.kotlin.outputs

import com.pulumi.awsnative.sagemaker.kotlin.enums.ModelQualityJobDefinitionBatchTransformInputS3DataDistributionType
import com.pulumi.awsnative.sagemaker.kotlin.enums.ModelQualityJobDefinitionBatchTransformInputS3InputMode
import kotlin.Double
import kotlin.String
import kotlin.Suppress

/**
 * The batch transform input for a monitoring job.
 * @property dataCapturedDestinationS3Uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
 * @property datasetFormat The dataset format for your batch transform job.
 * @property endTimeOffset Monitoring end time offset, e.g. PT0H
 * @property inferenceAttribute Index or JSONpath to locate predicted label(s)
 * @property localPath Path to the filesystem where the endpoint data is available to the container.
 * @property probabilityAttribute Index or JSONpath to locate probabilities
 * @property probabilityThresholdAttribute The threshold for the class probability to be evaluated as a positive result.
 * @property s3DataDistributionType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
 * @property s3InputMode Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
 * @property startTimeOffset Monitoring start time offset, e.g. -PT1H
 */
public data class ModelQualityJobDefinitionBatchTransformInput(
    public val dataCapturedDestinationS3Uri: String,
    public val datasetFormat: ModelQualityJobDefinitionDatasetFormat,
    public val endTimeOffset: String? = null,
    public val inferenceAttribute: String? = null,
    public val localPath: String,
    public val probabilityAttribute: String? = null,
    public val probabilityThresholdAttribute: Double? = null,
    public val s3DataDistributionType: ModelQualityJobDefinitionBatchTransformInputS3DataDistributionType? = null,
    public val s3InputMode: ModelQualityJobDefinitionBatchTransformInputS3InputMode? = null,
    public val startTimeOffset: String? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.awsnative.sagemaker.outputs.ModelQualityJobDefinitionBatchTransformInput): ModelQualityJobDefinitionBatchTransformInput = ModelQualityJobDefinitionBatchTransformInput(
            dataCapturedDestinationS3Uri = javaType.dataCapturedDestinationS3Uri(),
            datasetFormat = javaType.datasetFormat().let({ args0 ->
                com.pulumi.awsnative.sagemaker.kotlin.outputs.ModelQualityJobDefinitionDatasetFormat.Companion.toKotlin(args0)
            }),
            endTimeOffset = javaType.endTimeOffset().map({ args0 -> args0 }).orElse(null),
            inferenceAttribute = javaType.inferenceAttribute().map({ args0 -> args0 }).orElse(null),
            localPath = javaType.localPath(),
            probabilityAttribute = javaType.probabilityAttribute().map({ args0 -> args0 }).orElse(null),
            probabilityThresholdAttribute = javaType.probabilityThresholdAttribute().map({ args0 ->
                args0
            }).orElse(null),
            s3DataDistributionType = javaType.s3DataDistributionType().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.awsnative.sagemaker.kotlin.enums.ModelQualityJobDefinitionBatchTransformInputS3DataDistributionType.Companion.toKotlin(args0)
                })
            }).orElse(null),
            s3InputMode = javaType.s3InputMode().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.awsnative.sagemaker.kotlin.enums.ModelQualityJobDefinitionBatchTransformInputS3InputMode.Companion.toKotlin(args0)
                })
            }).orElse(null),
            startTimeOffset = javaType.startTimeOffset().map({ args0 -> args0 }).orElse(null),
        )
    }
}