convert config to yaml

benchmarks/uno/target/rivanna/uno_fom_model.yaml

@@ -0,0 +1,49 @@
+Global_Params:
+  train_sources:
+  - 'GDSC'
+  test_sources:
+  - 'train'
+  cell_types: None
+  cell_features:
+  - 'rnaseq'
+  drug_features:
+  - 'descriptors', 'fingerprints'
+  dense:
+  - 1000
+  - 1000
+  - 1000
+  dense_feature_layers:
+  - 1000
+  - 1000
+  - 1000
+  activation: 'relu'
+  loss: 'mse'
+  optimizer: 'adam'
+  scaling: 'std'
+  dropout: 0
+  epochs: 50
+  batch_size: 512
+  val_split: 0.2
+  cv: 1
+  max_val_loss: 1.0
+  learning_rate: None
+  base_lr: None
+  residual: False
+  reduce_lr: False
+  warmup_lr: False
+  batch_normalization: False
+  feature_subsample: 0
+  rng_seed: 2018
+  save_path: 'save/uno'
+  no_gen: False
+  verbose :  False
+  use_landmark_genes: True
+  preprocess_rnaseq: 'source_scale'
+  no_feature_source: True
+  no_response_source: True
+  single: True
+  gpus:
+  - 0
+
+Monitor_Params:
+  timeout: -1