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config.py
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config.py
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MLP_DEFAULT_PARAMS = {
'network_layers': [32],
'learning_rate': [0.001],
'momentum': [0.0],
'optimizer': ["Adam"],
'activation_fn': ["relu"],
'weight_decay': [None],
'dropout': [None],
'l2_reg': [None],
'patience': 10,
'n_samples_train': 10,
'n_samples_valid': 10,
'n_samples_test': 100
}
MCD_DEFAULT_PARAMS = {
'network_layers': [32],
'learning_rate': [0.001],
'momentum': [0.0],
'optimizer': ["Adam"],
'activation_fn': ["relu"],
'weight_decay': [None],
'dropout': [None],
'l2_reg': [None],
'patience': 10,
'n_samples_train': 10,
'n_samples_valid': 10,
'n_samples_test': 100
}
COX_DEFAULT_PARAMS = {
'n_estimators': [100],
'max_depth' : [None],
'min_samples_split': [2],
'min_samples_leaf': [1],
'max_features': [None],
"seed": 0
}
COXBOOST_DEFAULT_PARAMS = {
'n_estimators': 100,
'learning_rate': 0.1,
'max_depth': 3,
'loss': 'coxph',
'min_samples_split': 2,
'min_samples_leaf': 1,
'max_features': None,
'dropout_rate': 0.0,
'subsample': 1.0,
'seed': 0,
'test_size': 0.3,
}
COXNET_DEFAULT_PARAMS = {
'n_estimators': [100],
'max_depth' : [None],
'min_samples_split': [2],
'min_samples_leaf': [1],
'max_features': [None],
"seed": 0
}
DCM_DEFAULT_PARAMS = {
'network_layers': [32, 32],
'learning_rate': 0.001,
'n_iters' : 100
}
DCPH_DEFAULT_PARAMS = {
'network_layers': [32, 32],
'n_iters' : 100,
'learning_rate': 0.001,
'batch_size': 32
}
DSM_DEFAULT_PARAMS = {
'network_layers': [32, 32],
'learning_rate': 0.001,
'n_iters' : 100
}
RSF_DEFAULT_PARAMS = {
'n_estimators': [100],
'max_depth' : [None],
'min_samples_split': [2],
'min_samples_leaf': [1],
'max_features': [None],
"seed": 0
}
BAYCOX_DEFAULT_PARAMS = {
'hidden_size': 32,
'mu_scale': None,
'rho_scale': -5,
'sigma1': 1,
'sigma2': 0.002,
'pi': 0.5,
'verbose': False,
'lr': 0.005,
'num_epochs': 5000,
'dropout': 0.6,
'n_samples_train': 10,
'n_samples_test': 100,
'batch_size': 32,
'early_stop': True,
'patience': 50
}
BAYMTLR_DEFAULT_PARAMS = {
'hidden_size': 32,
'mu_scale': None,
'rho_scale': -5,
'sigma1': 1,
'sigma2': 0.002,
'pi': 0.5,
'verbose': False,
'lr': 0.00008,
'num_epochs': 5000,
'dropout': 0.6,
'n_samples_train': 10,
'n_samples_test': 100,
'batch_size': 32,
'early_stop': True,
'patience': 50
}