searchSpace:
  dropout_rate:
    _type: uniform
    _value: [0.5, 0.9]
  conv_size:
    _type: choice
    _value: [2, 3, 5, 7]
  hidden_size:
    _type: choice
    _value: [128, 512, 1024]
  batch_size:
    _type: choice
    _value: [16, 32]
  learning_rate:
    _type: choice
    _value: [0.0001, 0.001, 0.01, 0.1]
trainingService:
  platform: local
trialCodeDirectory: .
trialCommand: python3 mnist.py
trialConcurrency: 1
trialGpuNumber: 0
tuner:
  name: TPE
  classArgs:
    optimize_mode: maximize