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testing2
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18
Name
18 visualized
use_mean=False_beta_prior_mu=-1.0
use_mean=False_beta_prior_mu=-1.0
use_mean=False_beta_prior_mu=-1.0
use_mean=False_beta_prior_mu=-1.0
use_mean=False_beta_prior_mu=-1.0
use_mean=False_beta_prior_mu=-1.0
use_mean=True_beta_prior_mu=-1.0
use_mean=True_beta_prior_mu=-1.0
use_mean=True_beta_prior_mu=-1.0
use_mean=True_beta_prior_mu=-1.0
use_mean=True_beta_prior_mu=-1.0
use_mean=True_beta_prior_mu=-1.0
use_mean=False_beta_prior_mu=-5.0
use_mean=False_beta_prior_mu=-5.0
use_mean=False_beta_prior_mu=-5.0
use_mean=False_beta_prior_mu=-5.0
use_mean=False_beta_prior_mu=-5.0
use_mean=False_beta_prior_mu=-5.0
use_mean=True_beta_prior_mu=-5.0
use_mean=True_beta_prior_mu=-5.0
use_mean=True_beta_prior_mu=-5.0
use_mean=True_beta_prior_mu=-5.0
use_mean=True_beta_prior_mu=-5.0
use_mean=True_beta_prior_mu=-5.0
use_mean=False_beta_prior_mu=-10.0
use_mean=False_beta_prior_mu=-10.0
use_mean=False_beta_prior_mu=-10.0
use_mean=False_beta_prior_mu=-10.0
use_mean=False_beta_prior_mu=-10.0
use_mean=False_beta_prior_mu=-10.0
use_mean=True_beta_prior_mu=-10.0
use_mean=True_beta_prior_mu=-10.0
use_mean=True_beta_prior_mu=-10.0
use_mean=True_beta_prior_mu=-10.0
use_mean=True_beta_prior_mu=-10.0
use_mean=True_beta_prior_mu=-10.0
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accuracy (by use_mean)
accuracy (by use_mean)
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step
0.5
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accuracy
use_mean: false
entropy_pred/accuracy
use_mean: true
entropy_pred/accuracy
use_mean: false
train/accuracy
use_mean: true
train/accuracy