@<1523701070390366208:profile|CostlyOstrich36>

from clearml import Task
from clearml.automation import HyperParameterOptimizer, UniformIntegerParameterRange, DiscreteParameterRange


task = Task.init(
       project_name="examples",
       task_name="HP optimizer",
       task_type=Task.TaskTypes.optimizer,
       reuse_last_task_id=False,
   )

task.execute_remotely(queue_name="services")

an_optimizer = HyperParameterOptimizer(
    base_task_id="c7618e30ff5c4955b4942971b410f72d",
    hyper_parameters=[
            DiscreteParameterRange("General/checkpoint", values=['5a6bea85858241f79a08ef23556e9e37',
                                                                 'f64fb9d419d14f11b74d17ebd2c38fd9']),
            DiscreteParameterRange("General/dataset_id", values=['0c5af65c496d45e591e3c475591764dd']),
            UniformIntegerParameterRange("General/seed", min_value=1, max_value=100),
        ],
    objective_metric_title="Summary",
    objective_metric_series="train_accuracy",
    objective_metric_sign="max",
    execution_queue="rtx3090",

    total_max_jobs=3,
    save_top_k_tasks_only=2,
    spawn_project="examples/hpo1",
    max_number_of_concurrent_tasks=2
)

an_optimizer.start()
an_optimizer.wait()
an_optimizer.stop()

Hi @<1523703961872240640:profile|CrookedWalrus33> , this should be supported. How did you configure HPO?

@<1523701070390366208:profile|CostlyOstrich36> am I doing anything wrong here?