Patent attributes
An embodiment for training a forecasting model is provided. The embodiment may include receiving a first 12-month history of a plurality of leading markers. The embodiment may also include submitting the first plurality of leading markers to a convolutional neural network model. The embodiment may further include submitting a first output of the second convolution layer to the aggregation layer. The embodiment may also include generating one or more feature summaries and one or more first lagging markers. The embodiment may further include training the convolutional neural network model. The embodiment may also include removing the regression layer. The embodiment may further include creating a decision tree model and training the decision tree model to generate one or more updated first lagging markers.
