Inference on Unseen Data Related to Requirements Multi-Label Classification:

• Users can upload a CSV file of test multi-label requirements in a format similar to benchmark datasets (see download section).
• Exploratory data analysis engine will process the data shortly to predict multiple labels against requirement text.
• Users can download the result file after data processing by clicking a button.

Training the Model from Scratch

• Provide a CSV file containing multi-label requirements in a format similar to benchmark datasets (see download section).
• Choose encoder, data split method, number of folds, machine learning classifier, and multi-label data transformation method.
• Before training, sign up using an organizational email and provide the required data and purpose of experimentation.
• After approval, users can log in for one-time training and download performance artifacts.
• At the end of training, users can download performance-related artifacts to analyze the model behavior.