Any python object of an experiment such as data objects, model object etc can be stored in ModelChimp by using the following method of Tracker class
data = pd.read_csv(‘data/train.csv’) tracker.add_custom_object(“train data”, data)
The custom objects stored for an experiment can be viewed by clicking on “Custom Objects” button in the experiment page
The custom objects can be reused in another experiment by using the following method of Tracker Class to pull it from ModelChimp server
The “ID” of the custom object has to be copied from the Custom Objects page in the above method.
data = pull_custom_object(‘855d12a4-333b-453b-bd63-2d27942846d5’)