So I'm looking at the example in the github, this is step1:
def step_one(pickle_data_url): # make sure we have scikit-learn for this step, we need it to use to unpickle the object import sklearn # noqa import pickle import pandas as pd from clearml import StorageManager pickle_data_url = \ pickle_data_url or \ ' ' local_iris_pkl = StorageManager.get_local_copy(remote_url=pickle_data_url) with open(local_iris_pkl, 'rb') as f: iris = pickle.load(f) data_frame = pd.DataFrame(iris['data'], columns=iris['feature_names']) data_frame.columns += ['target'] data_frame['target'] = iris['target'] return data_frame