xgboost-mnist-hpo.yaml

apiVersion: sagemaker.aws.amazon.com/v1
kind: HyperparameterTuningJob
metadata:
  name: xgboost-mnist-hpo
spec:
  region: us-west-2
  tags:
    - key: test-key
      value: test-value
  hyperParameterTuningJobConfig:
    strategy: Bayesian
    hyperParameterTuningJobObjective:
      type: Minimize
      metricName: validation:error
    resourceLimits:
      maxNumberOfTrainingJobs: 10
      maxParallelTrainingJobs: 5
    parameterRanges:
      integerParameterRanges:
      - name: num_round
        minValue: '10'
        maxValue: '20'
        scalingType: Linear
      continuousParameterRanges: []
      categoricalParameterRanges: []
    trainingJobEarlyStoppingType: Auto
  trainingJobDefinition:
    staticHyperParameters:
      - name: base_score
        value: '0.5'
      - name: booster
        value: gbtree
      - name: csv_weights
        value: '0'
      - name: dsplit
        value: row
      - name: grow_policy
        value: depthwise
      - name: lambda_bias
        value: '0.0'
      - name: max_bin
        value: '256'
      - name: max_leaves
        value: '0'
      - name: normalize_type
        value: tree
      - name: objective
        value: reg:linear
      - name: one_drop
        value: '0'
      - name: prob_buffer_row
        value: '1.0'
      - name: process_type
        value: default
      - name: rate_drop
        value: '0.0'
      - name: refresh_leaf
        value: '1'
      - name: sample_type
        value: uniform
      - name: scale_pos_weight
        value: '1.0'
      - name: silent
        value: '0'
      - name: sketch_eps
        value: '0.03'
      - name: skip_drop
        value: '0.0'
      - name: tree_method
        value: auto
      - name: tweedie_variance_power
        value: '1.5'
      - name: updater
        value: grow_colmaker,prune
    algorithmSpecification:
      trainingImage: 433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:1
      trainingInputMode: File
    roleArn: arn:aws:iam::123456789012:role/service-role/AmazonSageMaker-ExecutionRole
    inputDataConfig:
    - channelName: train
      dataSource:
        s3DataSource:
          s3DataType: S3Prefix
          s3Uri: s3://my-bucket/xgboost/train/
          s3DataDistributionType: FullyReplicated
      contentType: text/csv
      compressionType: None
      recordWrapperType: None
      inputMode: File
    - channelName: validation
      dataSource:
        s3DataSource:
          s3DataType: S3Prefix
          s3Uri: s3://my-bucket/xgboost/validation/
          s3DataDistributionType: FullyReplicated
      contentType: text/csv
      compressionType: None
      recordWrapperType: None
      inputMode: File
    outputDataConfig:
      s3OutputPath: s3://my-bucket/xgboost
    resourceConfig:
      instanceType: ml.m4.xlarge
      instanceCount: 1
      volumeSizeInGB: 25
    stoppingCondition:
      maxRuntimeInSeconds: 3600
    enableNetworkIsolation: true
    enableInterContainerTrafficEncryption: false