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plot.py
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57 lines (29 loc) · 863 Bytes
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from deep_dating.summary import *
from deep_dating.datasets import *
if __name__ == "__main__":
# Uncomment the functions individually to run the corresponding plots
#binet_loss()
binet_compare()
#plot_dist_all()
#plot_timelines()
#dibco_example()
#cluster_patch()
#plot_comment_examples()
#present_datasets()
#patch_extraction()
#binet_synthetic()
#results_bar_color()
#results_bar(related_works=True, cs_25=True)
#results_bar_mae()
#patch_cnn_labeled()
#plot_all_learning_curves()
#cross_val_patch_level_results()
#ensemble_ablation()
#plot_all_feats()
#patch_cnn_example()
#patch_random()
#good_examples()
#plot_himanis_books()
#plot_clamm_tricky_examples()
#clamm_compare()
#plot_dist_scribble()