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add parameter model for performance benchmark
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[Global_Params]
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cell_features=['expression']
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drug_features=['descriptors']
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dense=[1000, 1000, 1000]
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dense_feature_layers=[1000, 1000, 1000]
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activation='relu'
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loss='mse'
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optimizer='adam'
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scaling='std'
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drop=0
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epochs=10
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batch_size=32
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validation_split=0.2
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cv=1
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cv_partition='overlapping'
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max_val_loss=1.0
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learning_rate=None
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base_lr=None
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residual=False
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reduce_lr=False
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warmup_lr=False
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batch_normalization=False
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feature_subsample=0
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rng_seed=2017
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save='save/combo'
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gen=False
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use_combo_score=False
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verbose=False
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use_landmark_genes=True
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[Monitor_Params]
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solr_root=''
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timeout=3600
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[Global_Params]
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data_url = 'ftp://ftp.mcs.anl.gov/pub/candle/public/benchmarks/Pilot1/normal-tumor/'
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train_data = 'nt_train2.csv'
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test_data = 'nt_test2.csv'
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model_name = 'nt3'
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conv = [128, 20, 1, 128, 10, 1]
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dense = [200,20]
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activation = 'relu'
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out_act = 'softmax'
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loss = 'categorical_crossentropy'
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optimizer = 'sgd'
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metrics = 'accuracy'
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epochs = 50
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batch_size = 20
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learning_rate = 0.001
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drop = 0.1
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classes = 2
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pool = [1, 10]
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save = '.'
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timeout = 3600
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[Global_Params]
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dense=[1000, 500, 100, 50]
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batch_size=100
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epochs=3
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activation='relu'
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loss='mse'
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optimizer='sgd'
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learning_rate=0.001
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scaling='std'
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drop=0.1
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feature_subsample=500
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validation_split=0.1
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rng_seed=2017
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initialization='normal'
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min_logconc=-5.
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max_logconc=-4.
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category_cutoffs=[0.]
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test_cell_split=0.15
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cell_features=['expression']
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drug_features=['descriptors']
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subsample='naive_balancing'
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batch_normalization=False
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cell_noise_sigma=0.
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output_dir='save'
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[Global_Params]
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train_sources=['CCLE']
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test_sources=['train']
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cell_types=None
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cell_features=['rnaseq']
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drug_features=['descriptors', 'fingerprints']
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dense=[1000, 1000, 1000]
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dense_feature_layers=[1000, 1000, 1000]
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activation='relu'
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loss='mse'
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optimizer='adam'
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scaling='std'
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drop=0
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epochs=3
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batch_size=32
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validation_split=0.2
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cv=1
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max_val_loss=1.0
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learning_rate=None
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base_lr=None
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residual=False
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reduce_lr=False
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warmup_lr=False
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batch_normalization=False
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feature_subsample=0
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rng_seed=2018
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save='save/uno'
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no_gen=False
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verbose = False
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use_landmark_genes=True
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[Monitor_Params]
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solr_root=''
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timeout=3600

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