Efficient plot

Created on July 19|Last edited on July 20
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Random Sample
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bayes
bayes
2468step0.40.50.60.70.80.91
07-18-20-aggregate.algo=bayes-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.9-online.sample=random
07-18-20-aggregate.algo=bayes-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.9-online.sample=random
07-18-20-aggregate.algo=bayes-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.7-online.sample=random
07-18-20-aggregate.algo=bayes-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.7-online.sample=random
bayes+knn
bayes+knn
2468step00.20.40.60.81
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.9-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.9-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.7-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.7-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes+knn-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.-online.sample=random
bayes+cv_prior
bayes+cv_prior
2468step00.20.40.60.81
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.9-online.sample=random
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.9-online.sample=random
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.7-online.sample=random
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.7-online.sample=random
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=10-learner_thres=0.-online.sample=random
07-18-20-aggregate.algo=bayes+cv_prior-online.budget=10000-n_classes=10-online.batch_size=1000-knn.k=50-learner_thres=0.7-online.sample=random
n_classes=10, batch_size=100048
 
n_classes=10, batch_size=200048
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Different online sample strategy: Random vs. kCenter
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random22
kcenter22
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