20 lines
526 B
Python
20 lines
526 B
Python
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############### Configuration file for Bayesian ###############
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layer_type = 'lrt' # 'bbb' or 'lrt'
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activation_type = 'softplus' # 'softplus' or 'relu'
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priors={
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'prior_mu': 0,
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'prior_sigma': 0.1,
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'posterior_mu_initial': (0, 0.1), # (mean, std) normal_
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'posterior_rho_initial': (-5, 0.1), # (mean, std) normal_
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}
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n_epochs = 200
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lr_start = 0.001
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num_workers = 4
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valid_size = 0.2
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batch_size = 256
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train_ens = 1
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valid_ens = 1
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beta_type = 0.1 # 'Blundell', 'Standard', etc. Use float for const value
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wide = 1
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