commonMain.aws.sdk.kotlin.services.bedrock.model.CreateModelCustomizationJobRequest.kt Maven / Gradle / Ivy

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// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.bedrock.model



public class CreateModelCustomizationJobRequest private constructor(builder: Builder) {
    /**
     * Name of the base model.
     */
    public val baseModelIdentifier: kotlin.String? = builder.baseModelIdentifier
    /**
     * Unique token value that you can provide. The GetModelCustomizationJob response includes the same token value.
     */
    public val clientRequestToken: kotlin.String? = builder.clientRequestToken
    /**
     * The custom model is encrypted at rest using this key.
     */
    public val customModelKmsKeyId: kotlin.String? = builder.customModelKmsKeyId
    /**
     * Enter a name for the custom model.
     */
    public val customModelName: kotlin.String? = builder.customModelName
    /**
     * Assign tags to the custom model.
     */
    public val customModelTags: List? = builder.customModelTags
    /**
     * The customization type.
     */
    public val customizationType: aws.sdk.kotlin.services.bedrock.model.CustomizationType? = builder.customizationType
    /**
     * Parameters related to tuning the model.
     */
    public val hyperParameters: Map? = builder.hyperParameters
    /**
     * Enter a unique name for the fine-tuning job.
     */
    public val jobName: kotlin.String? = builder.jobName
    /**
     * Assign tags to the job.
     */
    public val jobTags: List? = builder.jobTags
    /**
     * S3 location for the output data.
     */
    public val outputDataConfig: aws.sdk.kotlin.services.bedrock.model.OutputDataConfig? = builder.outputDataConfig
    /**
     * The Amazon Resource Name (ARN) of an IAM role that Amazon Bedrock can assume to perform tasks on your behalf. For example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the `iam:PassRole` permission.
     */
    public val roleArn: kotlin.String? = builder.roleArn
    /**
     * Information about the training dataset.
     */
    public val trainingDataConfig: aws.sdk.kotlin.services.bedrock.model.TrainingDataConfig? = builder.trainingDataConfig
    /**
     * Information about the validation dataset.
     */
    public val validationDataConfig: aws.sdk.kotlin.services.bedrock.model.ValidationDataConfig? = builder.validationDataConfig
    /**
     * VPC configuration (optional). Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
     */
    public val vpcConfig: aws.sdk.kotlin.services.bedrock.model.VpcConfig? = builder.vpcConfig

    public companion object {
        public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.bedrock.model.CreateModelCustomizationJobRequest = Builder().apply(block).build()
    }

    override fun toString(): kotlin.String = buildString {
        append("CreateModelCustomizationJobRequest(")
        append("baseModelIdentifier=$baseModelIdentifier,")
        append("clientRequestToken=$clientRequestToken,")
        append("customModelKmsKeyId=$customModelKmsKeyId,")
        append("customModelName=$customModelName,")
        append("customModelTags=$customModelTags,")
        append("customizationType=$customizationType,")
        append("hyperParameters=$hyperParameters,")
        append("jobName=$jobName,")
        append("jobTags=$jobTags,")
        append("outputDataConfig=$outputDataConfig,")
        append("roleArn=$roleArn,")
        append("trainingDataConfig=$trainingDataConfig,")
        append("validationDataConfig=$validationDataConfig,")
        append("vpcConfig=$vpcConfig")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = baseModelIdentifier?.hashCode() ?: 0
        result = 31 * result + (clientRequestToken?.hashCode() ?: 0)
        result = 31 * result + (customModelKmsKeyId?.hashCode() ?: 0)
        result = 31 * result + (customModelName?.hashCode() ?: 0)
        result = 31 * result + (customModelTags?.hashCode() ?: 0)
        result = 31 * result + (customizationType?.hashCode() ?: 0)
        result = 31 * result + (hyperParameters?.hashCode() ?: 0)
        result = 31 * result + (jobName?.hashCode() ?: 0)
        result = 31 * result + (jobTags?.hashCode() ?: 0)
        result = 31 * result + (outputDataConfig?.hashCode() ?: 0)
        result = 31 * result + (roleArn?.hashCode() ?: 0)
        result = 31 * result + (trainingDataConfig?.hashCode() ?: 0)
        result = 31 * result + (validationDataConfig?.hashCode() ?: 0)
        result = 31 * result + (vpcConfig?.hashCode() ?: 0)
        return result
    }

    override fun equals(other: kotlin.Any?): kotlin.Boolean {
        if (this === other) return true
        if (other == null || this::class != other::class) return false

        other as CreateModelCustomizationJobRequest

        if (baseModelIdentifier != other.baseModelIdentifier) return false
        if (clientRequestToken != other.clientRequestToken) return false
        if (customModelKmsKeyId != other.customModelKmsKeyId) return false
        if (customModelName != other.customModelName) return false
        if (customModelTags != other.customModelTags) return false
        if (customizationType != other.customizationType) return false
        if (hyperParameters != other.hyperParameters) return false
        if (jobName != other.jobName) return false
        if (jobTags != other.jobTags) return false
        if (outputDataConfig != other.outputDataConfig) return false
        if (roleArn != other.roleArn) return false
        if (trainingDataConfig != other.trainingDataConfig) return false
        if (validationDataConfig != other.validationDataConfig) return false
        if (vpcConfig != other.vpcConfig) return false

        return true
    }

    public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.bedrock.model.CreateModelCustomizationJobRequest = Builder(this).apply(block).build()

    public class Builder {
        /**
         * Name of the base model.
         */
        public var baseModelIdentifier: kotlin.String? = null
        /**
         * Unique token value that you can provide. The GetModelCustomizationJob response includes the same token value.
         */
        public var clientRequestToken: kotlin.String? = null
        /**
         * The custom model is encrypted at rest using this key.
         */
        public var customModelKmsKeyId: kotlin.String? = null
        /**
         * Enter a name for the custom model.
         */
        public var customModelName: kotlin.String? = null
        /**
         * Assign tags to the custom model.
         */
        public var customModelTags: List? = null
        /**
         * The customization type.
         */
        public var customizationType: aws.sdk.kotlin.services.bedrock.model.CustomizationType? = null
        /**
         * Parameters related to tuning the model.
         */
        public var hyperParameters: Map? = null
        /**
         * Enter a unique name for the fine-tuning job.
         */
        public var jobName: kotlin.String? = null
        /**
         * Assign tags to the job.
         */
        public var jobTags: List? = null
        /**
         * S3 location for the output data.
         */
        public var outputDataConfig: aws.sdk.kotlin.services.bedrock.model.OutputDataConfig? = null
        /**
         * The Amazon Resource Name (ARN) of an IAM role that Amazon Bedrock can assume to perform tasks on your behalf. For example, during model training, Amazon Bedrock needs your permission to read input data from an S3 bucket, write model artifacts to an S3 bucket. To pass this role to Amazon Bedrock, the caller of this API must have the `iam:PassRole` permission.
         */
        public var roleArn: kotlin.String? = null
        /**
         * Information about the training dataset.
         */
        public var trainingDataConfig: aws.sdk.kotlin.services.bedrock.model.TrainingDataConfig? = null
        /**
         * Information about the validation dataset.
         */
        public var validationDataConfig: aws.sdk.kotlin.services.bedrock.model.ValidationDataConfig? = null
        /**
         * VPC configuration (optional). Configuration parameters for the private Virtual Private Cloud (VPC) that contains the resources you are using for this job.
         */
        public var vpcConfig: aws.sdk.kotlin.services.bedrock.model.VpcConfig? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.bedrock.model.CreateModelCustomizationJobRequest) : this() {
            this.baseModelIdentifier = x.baseModelIdentifier
            this.clientRequestToken = x.clientRequestToken
            this.customModelKmsKeyId = x.customModelKmsKeyId
            this.customModelName = x.customModelName
            this.customModelTags = x.customModelTags
            this.customizationType = x.customizationType
            this.hyperParameters = x.hyperParameters
            this.jobName = x.jobName
            this.jobTags = x.jobTags
            this.outputDataConfig = x.outputDataConfig
            this.roleArn = x.roleArn
            this.trainingDataConfig = x.trainingDataConfig
            this.validationDataConfig = x.validationDataConfig
            this.vpcConfig = x.vpcConfig
        }

        @PublishedApi
        internal fun build(): aws.sdk.kotlin.services.bedrock.model.CreateModelCustomizationJobRequest = CreateModelCustomizationJobRequest(this)

        /**
         * construct an [aws.sdk.kotlin.services.bedrock.model.OutputDataConfig] inside the given [block]
         */
        public fun outputDataConfig(block: aws.sdk.kotlin.services.bedrock.model.OutputDataConfig.Builder.() -> kotlin.Unit) {
            this.outputDataConfig = aws.sdk.kotlin.services.bedrock.model.OutputDataConfig.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.bedrock.model.TrainingDataConfig] inside the given [block]
         */
        public fun trainingDataConfig(block: aws.sdk.kotlin.services.bedrock.model.TrainingDataConfig.Builder.() -> kotlin.Unit) {
            this.trainingDataConfig = aws.sdk.kotlin.services.bedrock.model.TrainingDataConfig.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.bedrock.model.ValidationDataConfig] inside the given [block]
         */
        public fun validationDataConfig(block: aws.sdk.kotlin.services.bedrock.model.ValidationDataConfig.Builder.() -> kotlin.Unit) {
            this.validationDataConfig = aws.sdk.kotlin.services.bedrock.model.ValidationDataConfig.invoke(block)
        }

        /**
         * construct an [aws.sdk.kotlin.services.bedrock.model.VpcConfig] inside the given [block]
         */
        public fun vpcConfig(block: aws.sdk.kotlin.services.bedrock.model.VpcConfig.Builder.() -> kotlin.Unit) {
            this.vpcConfig = aws.sdk.kotlin.services.bedrock.model.VpcConfig.invoke(block)
        }

        internal fun correctErrors(): Builder {
            return this
        }
    }
}