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HyperParameterTuningInstanceConfig

import type { HyperParameterTuningInstanceConfig } from "https://aws-api.deno.dev/v0.4/services/sagemaker.ts?docs=full";

The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).

interface HyperParameterTuningInstanceConfig {
InstanceCount: number;
InstanceType: TrainingInstanceType;
VolumeSizeInGB: number;
}

§Properties

§
InstanceCount: number
[src]

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more information.

§

The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

§
VolumeSizeInGB: number
[src]

The volume size in GB of the data to be processed for hyperparameter optimization (optional).