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

InputConfig

Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

Types

Builder

class Builder

Companion

object Companion

Properties

dataInputConfig

val dataInputConfig: String?

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are Framework specific.

framework

val framework: Framework?

Identifies the framework in which the model was trained. For example: TENSORFLOW.

frameworkVersion

val frameworkVersion: String?

Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.

s3Uri

val s3Uri: String?

The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String