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Remove deprecated solr_root keywords
1 parent da82634 commit f5a3af1

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Pilot1/Uno/README.AUC.md

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@@ -72,7 +72,6 @@ Params:
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'scaling': 'std',
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'shuffle': False,
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'single': True,
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'solr_root': '',
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'tb': False,
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'tb_prefix': 'tb',
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'test_sources': ['train'],

Pilot1/Uno/README.md

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@@ -7,7 +7,7 @@ Uno can be trained with a subset of dose response data sources. Here is an comma
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uno_baseline_keras2.py --train_sources all --cache cache/all --use_landmark_genes True --preprocess_rnaseq source_scale --no_feature_source True --no_response_source True
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Using TensorFlow backend.
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Params: {'activation': 'relu', 'batch_size': 32, 'dense': [1000, 1000, 1000], 'dense_feature_layers': [1000, 1000, 1000], 'drop': 0, 'epochs': 10, 'learning_rate': None, 'loss':
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'mse', 'optimizer': 'adam', 'residual': False, 'rng_seed': 2018, 'save': 'save/uno', 'scaling': 'std', 'feature_subsample': 0, 'validation_split': 0.2, 'solr_root': '', 'timeout'
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'mse', 'optimizer': 'adam', 'residual': False, 'rng_seed': 2018, 'save': 'save/uno', 'scaling': 'std', 'feature_subsample': 0, 'validation_split': 0.2, 'timeout'
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: -1, 'train_sources': ['all'], 'test_sources': ['train'], 'cell_types': None, 'cell_features': ['rnaseq'], 'drug_features': ['descriptors', 'fingerprints'], 'cv': 1, 'max_val_lo
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ss': 1.0, 'base_lr': None, 'reduce_lr': False, 'warmup_lr': False, 'batch_normalization': False, 'no_gen': False, 'config_file': '/raid/fangfang/Benchmarks/Pilot1/Uno/uno_default
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_model.txt', 'verbose': False, 'logfile': None, 'train_bool': True, 'shuffle': True, 'alpha_dropout': False, 'gpus': [], 'experiment_id': 'EXP.000', 'run_id': 'RUN.000', 'by_cell

Pilot1/Uno/uno_auc_clr_model.txt

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@@ -38,9 +38,9 @@ cp=True
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save_path='save/uno'
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single=True
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timeout=-1
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[Monitor_Params]
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timeout=-1
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[CLR_Params]
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clr_flag = True

Pilot1/Uno/uno_auc_model.txt

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@@ -38,7 +38,6 @@ cp=True
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save_path='save/uno'
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single=True
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timeout=-1
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[Monitor_Params]
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solr_root=''
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timeout=-1

Pilot1/Uno/uno_by_drug_example.txt

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@@ -36,5 +36,4 @@ by_drug='paclitaxel'
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cache='cache.pac'
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[Monitor_Params]
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solr_root=''
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timeout=3600

Pilot1/Uno/uno_clr_model.txt

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@@ -0,0 +1,39 @@
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[Global_Params]
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train_sources=['GDSC', 'CTRP', 'ALMANAC']
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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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dropout=0
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epochs=10
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batch_size=32
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val_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=True
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warmup_lr=True
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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_path='save/uno'
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no_gen=False
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verbose = False
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[Monitor_Params]
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timeout=3600
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[CLR_Params]
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clr_flag = False
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clr_mode = 'trng1'
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clr_base_lr = 0.00001
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clr_max_lr = 0.001
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clr_gamma = 0.999

Pilot1/Uno/uno_default_model.txt

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@@ -29,5 +29,4 @@ no_gen=False
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verbose = False
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[Monitor_Params]
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solr_root=''
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timeout=3600

Pilot1/Uno/uno_fom_model.txt

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@@ -34,5 +34,4 @@ no_response_source=True
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single=True
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[Monitor_Params]
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solr_root=''
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timeout=-1

Pilot1/Uno/uno_perf_bench_model.txt

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@@ -30,5 +30,4 @@ 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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