You are helping a customer start to implement hyper parameter optimization (HPO) with HPE Machine...

The engineer should specify the number of trials to train on the max length and the minimum length for all trials in the experiment config file. For example, if the engineer wants to run 10 trials with a max length of 10, the config file should look something like this:

{

"mode": "A5HA",

"max_trials": 10,

"max_length": 10,

"min_length": 1,

"divisor": 2,

"max_runs": 1

}

Once the config file is complete, the engineer should upload it to the HPE Machine Learning Development Environment WebUI and view the graph of the experiment plan. This will allow the engineer to see how the Adaptive A5HA settings will affect the experiment. After that, the engineer can run the experiment and assess the results.