NetFlow

This is a preprocessed dataset in numpy format. The dataset consists of multi-variate time series contained in an array of shape [n_samples, time_steps, n_variables] associated with class labels contained in an array of shape [n_samples, 1]. It can be loaded as follows: loaded_data = np.load("NET.npz") Xtr = loaded_data['Xtr'] # Training data of shape (803, 997, 4) Ytr = loaded_data['Ytr'] # Training labels of shape (803, 1) Xte = loaded_data['Xte'] # Test data of shape (534, 997, 4) Yte = loaded_data['Yte'] # Test labels of shape (534, 1)