`

Example use case:

an_optimizer = HyperParameterOptimizer(
# This is the experiment we want to optimize
base_task_id=args['template_task_id'],
# here we define the hyper-parameters to optimize
hyper_parameters=[
UniformIntegerParameterRange('General/layer_1', min_value=128, max_value=512, step_size=128),
UniformIntegerParameterRange('General/layer_2', min_value=128, max_value=512, step_size=128),
DiscreteParameterRange('General/batch_size', values=[96, 128, 160]),
DiscreteParameterRange('General/epochs', values=[30]),
],
# this is the objective metric we want to maximize/minimize
objective_metric_title='epoch_accuracy',
objective_metric_series='epoch_accuracy',
# now we decide if we want to maximize it or minimize it (accuracy we maximize)
objective_metric_sign='max',
# let us limit the number of concurrent experiments,
# this in turn will make sure we do dont bombard the scheduler with experiments.
# if we have an auto-scaler connected, this, by proxy, will limit the number of machine
max_number_of_concurrent_tasks=2,
# this is the optimizer class (actually doing the optimization)
# Currently, we can choose from GridSearch, RandomSearch or OptimizerBOHB (Bayesian optimization Hyper-Band)
# more are coming soon...
optimizer_class=aSearchStrategy,
# Select an execution queue to schedule the experiments for execution
execution_queue='1xGPU',
# Optional: Limit the execution time of a single experiment, in minutes.
# (this is optional, and if using OptimizerBOHB, it is ignored)
time_limit_per_job=10.,
# Check the experiments every 12 seconds is way too often, we should probably set it to 5 min,
# assuming a single experiment is usually hours...
pool_period_min=0.2,
# set the maximum number of jobs to launch for the optimization, default (None) unlimited
# If OptimizerBOHB is used, it defined the maximum budget in terms of full jobs
# basically the cumulative number of iterations will not exceed total_max_jobs * max_iteration_per_job
total_max_jobs=10,
# set the minimum number of iterations for an experiment, before early stopping.
# Does not apply for simple strategies such as RandomSearch or GridSearch
min_iteration_per_job=10,
# Set the maximum number of iterations for an experiment to execute
# (This is optional, unless using OptimizerBOHB where this is a must)
max_iteration_per_job=30,
) `