testbed/facebookresearch__hydra/plugins/hydra_nevergrad_sweeper/example/config.yaml

defaults:
  - hydra/sweeper: nevergrad

hydra:
  sweeper:
    params:
      optim:
        # name of the nevergrad optimizer to use
        # OnePlusOne is good at low budget, but may converge early
        optimizer: OnePlusOne
        # total number of function evaluations to perform
        budget: 100
        # number of parallel workers for performing function evaluations
        num_workers: 10
        # maximize: true  # comment out for maximization
      # default parametrization of the search space
      parametrization:
        # either one or the other
        db:
          - mnist
          - cifar
        # a log-distributed positive scalar, evolving by factors of 2 on average
        lr:
          init: 0.02
          step: 2.0
          log: true
        # a linearly-distributed scalar between 0 and 1
        dropout:
          lower: 0.0
          upper: 1.0
        # an integer scalar going from 4 to 16
        # init and step parameters could also be provided,
        # by default init is set to the middle of the range
        # and step is set to a sixth of the range
        batch_size:
          lower: 4
          upper: 16
          integer: true

db: cifar
lr: 0.01
dropout: 0.6
batch_size: 8