config.yaml

git_options:
  git_uri: "git@github.com:u-adrian/Tutorial.git"
  branch: "main"
model:
  entry_point: "main.py"
  function_name: "run_hyperopt"
# data_options:
  # dataset_path: "/home/kit/iti/ew0464/gan_experiment/dataset/cifar-10-python.tar.gz" #dummy dataset. # optional
  # copy_data: false # optional; default?
experiment:
  # use_local_workspace: false # optional
  cluster: "bwunicluster"
  number_chain_jobs: 4
  parallel_bandwidth: 4
  observation_budget: 60
  #conda_env: name_of_env # added
parameters:
  - name: max_depth
    type: int
    bounds:
      min: 1
      max: 10
  - name: n_estimators
    type: int
    bounds:
      min: 1
      max: 10
  - name: bootstrap
    type: int
    grid:
      - 0
      - 1
  - name: max_features
    type: categorical
    categorical_values:
      - 'sqrt'
      - 'log2'
  - name: criterion
    type: categorical
    categorical_values:
      - 'gini'
      - 'entropy'
metrics:
  - name: accuracy
    objective: maximize
    strategy: optimize
sbatch_options:
  partition: "dev_gpu_4"
  #gres: "gpu:4" # optional
  #ntasks: 4 # optional
  #mem-per-gpu: 32000 # optional
  #time: "10" # optional
sigopt_options:
  dev_run: true
  project_id: "test_project"
  experiment_name: "tutorial_project" # added/moved here
  client_id: 11949