
commonMain.aws.sdk.kotlin.services.transcribe.model.CreateLanguageModelResponse.kt Maven / Gradle / Ivy
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.transcribe.model
public class CreateLanguageModelResponse private constructor(builder: Builder) {
/**
* The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.
*/
public val baseModelName: aws.sdk.kotlin.services.transcribe.model.BaseModelName? = builder.baseModelName
/**
* Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (`S3Uri`) and tuning (`TuningDataS3Uri`) data.
*/
public val inputDataConfig: aws.sdk.kotlin.services.transcribe.model.InputDataConfig? = builder.inputDataConfig
/**
* The language code you selected for your custom language model.
*/
public val languageCode: aws.sdk.kotlin.services.transcribe.model.ClmLanguageCode? = builder.languageCode
/**
* The name of your custom language model.
*/
public val modelName: kotlin.String? = builder.modelName
/**
* The status of your custom language model. When the status displays as `COMPLETED`, your model is ready to use.
*/
public val modelStatus: aws.sdk.kotlin.services.transcribe.model.ModelStatus? = builder.modelStatus
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.transcribe.model.CreateLanguageModelResponse = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("CreateLanguageModelResponse(")
append("baseModelName=$baseModelName,")
append("inputDataConfig=$inputDataConfig,")
append("languageCode=$languageCode,")
append("modelName=$modelName,")
append("modelStatus=$modelStatus")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = baseModelName?.hashCode() ?: 0
result = 31 * result + (inputDataConfig?.hashCode() ?: 0)
result = 31 * result + (languageCode?.hashCode() ?: 0)
result = 31 * result + (modelName?.hashCode() ?: 0)
result = 31 * result + (modelStatus?.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 CreateLanguageModelResponse
if (baseModelName != other.baseModelName) return false
if (inputDataConfig != other.inputDataConfig) return false
if (languageCode != other.languageCode) return false
if (modelName != other.modelName) return false
if (modelStatus != other.modelStatus) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.transcribe.model.CreateLanguageModelResponse = Builder(this).apply(block).build()
public class Builder {
/**
* The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.
*/
public var baseModelName: aws.sdk.kotlin.services.transcribe.model.BaseModelName? = null
/**
* Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (`S3Uri`) and tuning (`TuningDataS3Uri`) data.
*/
public var inputDataConfig: aws.sdk.kotlin.services.transcribe.model.InputDataConfig? = null
/**
* The language code you selected for your custom language model.
*/
public var languageCode: aws.sdk.kotlin.services.transcribe.model.ClmLanguageCode? = null
/**
* The name of your custom language model.
*/
public var modelName: kotlin.String? = null
/**
* The status of your custom language model. When the status displays as `COMPLETED`, your model is ready to use.
*/
public var modelStatus: aws.sdk.kotlin.services.transcribe.model.ModelStatus? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.transcribe.model.CreateLanguageModelResponse) : this() {
this.baseModelName = x.baseModelName
this.inputDataConfig = x.inputDataConfig
this.languageCode = x.languageCode
this.modelName = x.modelName
this.modelStatus = x.modelStatus
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.transcribe.model.CreateLanguageModelResponse = CreateLanguageModelResponse(this)
/**
* construct an [aws.sdk.kotlin.services.transcribe.model.InputDataConfig] inside the given [block]
*/
public fun inputDataConfig(block: aws.sdk.kotlin.services.transcribe.model.InputDataConfig.Builder.() -> kotlin.Unit) {
this.inputDataConfig = aws.sdk.kotlin.services.transcribe.model.InputDataConfig.invoke(block)
}
internal fun correctErrors(): Builder {
return this
}
}
}
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