Addresses problems that have both time series characteristics and nonlinear relationships between dependent and independent variables using stacked model (neural network + time series) forecasting.Provides a multistage (neural network/regression + time series) framework for creating a forecasting methodology that combines signals from different types of models.Includes a panel series neural network framework for generating features and training a neural network.Neural network/machine learning modeling strategy nodes
Large-scale time series analysis & forecasting in a distributed environment
