Get metrics and hyperparameters for each run in HyperDriveStepRun in Azure Machine Learning

hyperparameters.py

# Get the HyperDriveStep of the pipeline by name (make sure only 1 exists)
hd_step_run = HyperDriveStepRun(step_run=pipeline_run.find_step_run('hd_step01')[0])

# Get RunID for best run (we're lazy)
best_run_id = hd_step_run.get_best_run_by_primary_metric().id

# Get all hyperparameters that where tried
hyperparameters = hd_step_run.get_hyperparameters()

# Get all metrics for the runs
metrics = hd_step_run.get_metrics()

# Iterate through all runs and print metrics + hyperparameters
for run_id, hp in hyperparameters.items():
    print(run_id, "===========")
    print("Hyperparameters:\n", hp)
    print("Metrics:\n", metrics[run_id])
 
# Just for the best run
print("BEST RUN:", best_run_id)
print("Hyperparameters for best run:\n", hyperparameters[best_run_id])
print("Metrics of best run:\n", metrics[best_run_id])