Can't upload rmse,mae and other results to openml server

[SharathKumarReddyAlijarla]

Description

Can't upload rmse,mae and other results to openml server

Steps/Code to Reproduce

` root = logging.getLogger() root.setLevel(logging.INFO)

args = parse_args()
if args.openml_apikey:
    openml.config.apikey = args.openml_apikey
if args.openml_server:
    openml.config.server = args.openml_server
else:
    openml.config.server = 'https://test.openml.org/api/v1/'
clf_pipeline=pipeline()
run = openml.runs.run_model_on_task(clf_pipeline, args.task_id)
score = []
evaluations = run.fold_evaluations['mean_absolute_error'][0]
for key in evaluations:
    score.append(evaluations[key])
mae=np.mean(score)
print(np.mean(score))
print(np.mean(run.get_metric_fn(sklearn.metrics.mean_squared_error)))
print(np.mean(run.get_metric_fn(sklearn.metrics.r2_score)))
logging.info('Task %d - %s; Accuracy: %0.2f' % (args.task_id, task.get_dataset().name, mae))

del_outputdir()
run.to_filesystem(directory= 'myrun')
print(args.upload_result)

if args.upload_result:
    run.publish()
    print(run)
    print('Results Uploaded to Openml and stored in local folder myrun')
else:
    print('Results stored in local folder myrun')`

Expected Results

want to upload mean absolute error value to openml runs. run is uploaded but this values are not uploaded when run.publish() is executed.I am only able to get results locally,

Actual Results

Versions

[LennartPurucker]

Solved in #1209