ML Testing is typically conducted in the research phase and is the first component in Continuous ML Validation.
Testing is an extremely important part of any software development process, and for various reasons hasn’t evolved as consistently and healthily as some other components in the ML tech stack. It’s time to change that.
How Deepchecks Open Source Supports Testing
from deepchecks.tabular.suites import train_test_validationvalidation_suite = train_test_validation(...)validation_suite.run(train_ds, test_ds)