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feat: add device

main
taha 5 months ago
parent
commit
1505dbf2eb
2 changed files with 5 additions and 5 deletions
  1. 4
    4
      main.py
  2. 1
    1
      utils.py

+ 4
- 4
main.py View File

@@ -161,8 +161,8 @@ def run(k, is_test=False ):

# Step 2: Load training data
train_data, train_drug_screen = RawDataLoader.load_data(data_modalities=DATA_MODALITIES,
raw_file_directory=RAW_BOTH_DATA_FOLDER,
screen_file_directory=BOTH_SCREENING_DATA_FOLDER,
raw_file_directory=GDSC_RAW_DATA_FOLDER,
screen_file_directory=GDSC_SCREENING_DATA_FOLDER,
sep="\t")


@@ -170,7 +170,7 @@ def run(k, is_test=False ):
if is_test:
test_data, test_drug_screen = RawDataLoader.load_data(data_modalities=DATA_MODALITIES,
raw_file_directory=CCLE_RAW_DATA_FOLDER,
screen_file_directory=CCLE_SCREENING_DATA_FOLDER,
screen_file_directory=CTRP_SCREENING_DATA_FOLDER,
sep="\t")
train_data, test_data = RawDataLoader.data_features_intersect(train_data, test_data)

@@ -226,4 +226,4 @@ if __name__ == '__main__':
torch.manual_seed(RANDOM_SEED)
random.seed(RANDOM_SEED)
np.random.seed(RANDOM_SEED)
run(10, is_test=True)
run(30, is_test=False)

+ 1
- 1
utils.py View File

@@ -31,7 +31,7 @@ SIM_KERNEL = {'cell_CN': ('euclidean', 0.001), 'cell_exp': ('euclidean', 0.01),
SAVE_MODEL = False # Change it to True to save the trained model
VARIATIONAL_AUTOENCODERS = False
# DATA_MODALITIES=['cell_CN','cell_exp','cell_methy','cell_mut','drug_comp','drug_DT'] # Change this list to only consider specific data modalities
DATA_MODALITIES = ['cell_CN','cell_exp','cell_mut', 'drug_desc','drug_finger']
DATA_MODALITIES = ['cell_exp', 'drug_desc','drug_finger']
RANDOM_SEED = 42 # Must be used wherever can be used



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