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Predicting Flight Delay With Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

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Predicting Flight Delay With Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

from Flight_Delay_experiment_5 import experiment
experiment()
  • FAA_DataPointLoader_Image_Only_2.py This is the dataloader for the TrajCNN features.

  • FAA_DataPointLoader_no_image_1.py This is the dataloader for all the other features (schedule and weather).

  • Flight_Delay_experiment_5.py This the main file. It contains all the configurations, the default hyperparamters, as well as the model.

  • ProgressIndicator.py This is a utility class for progress indicator in a loop.

  • hp.py This is for hyper-paramter search.

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Predicting Flight Delay With Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

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