sagemaker/aws.sdk.kotlin.services.sagemaker.model/AutoMlJobChannel

AutoMlJobChannel

A channel is a named input source that training algorithms can consume. This channel is used for AutoML jobs V2 (jobs created by calling CreateAutoMLJobV2).

Types

Builder

class Builder

Companion

object Companion

Properties

channelType

val channelType: AutoMlChannelType?

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

compressionType

val compressionType: CompressionType?

The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

contentType

val contentType: String?

The content type of the data from the input source. The following are the allowed content types for different problems:

dataSource

val dataSource: AutoMlDataSource?

The data source for an AutoML channel (Required).

Functions

copy

inline fun copy(block: AutoMlJobChannel.Builder.() -> Unit = {}): AutoMlJobChannel

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String