ModelArtifacts

Provides information about the location that is configured for storing model artifacts.

Model artifacts are outputs that result from training a model. They typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata. A SageMaker container stores your trained model artifacts in the /opt/ml/model directory. After training has completed, by default, these artifacts are uploaded to your Amazon S3 bucket as compressed files.

Types

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class Builder
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object Companion

Properties

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The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.

Functions

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inline fun copy(block: ModelArtifacts.Builder.() -> Unit = {}): ModelArtifacts
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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun toString(): String