Getting started
Building the database
Experiment Configurations
Training models
Validating models
Visualizing data and predictions
Method paper reproduction
Notes for Developers
supernnova
supernnova.data.make_dataset
supernnova.paper.superNNova_metrics
supernnova.paper.superNNova_plots
supernnova.paper.superNNova_thread
supernnova.training.bayesian_rnn
supernnova.training.train_randomforest
supernnova.training.train_rnn
supernnova.training.vanilla_rnn
supernnova.training.variational_rnn
supernnova.utils.data_utils
supernnova.utils.experiment_settings
supernnova.utils.training_utils
supernnova.validation.metrics
supernnova.validation.validate_randomforest
supernnova.validation.validate_rnn
supernnova.visualization.early_prediction
supernnova.visualization.prediction_distribution
supernnova.visualization.visualize