hyperdrive_config.yml

# For more details, visit:
# https://docs.microsoft.com/en-us/azure/machine-learning/how-to-tune-hyperparameters#define-the-search-space
sampling: 
    type: random # Supported options: Random, Grid, Bayesian
    parameter_space: # specify a name|expression|values tuple for each parameter.
    - name: --c # The name of a script parameter to generate values for.
      expression: choice # supported options: choice, randint, uniform, quniform, loguniform, qloguniform, normal, qnormal, lognormal, qlognormal
      values: [0.5, 1, 1.5] # The list of values, the number of values is dependent on the expression specified.
policy: 
    type: BanditPolicy # Supported options: BanditPolicy, MedianStoppingPolicy, TruncationSelectionPolicy, NoTerminationPolicy
    evaluation_interval: 1 # Policy properties are policy specific. See the above link for policy specific parameter details.
    slack_factor: 0.2
primary_metric_name: Test accuracy # The metric used when evaluating the policy
primary_metric_goal: Maximize # Maximize or Minimize
max_total_runs: 8 # The maximum number of runs to generate
max_concurrent_runs: 1 # The number of runs that can run concurrently.
max_duration_minutes: 60 # The maximum length of time to run the experiment before cancelling.