Drug-combination-synergy/DrugCombPred_DrugCombDB/predictor/config.py

HYPERPARAMETERS = {
    "batch_size": [32, 128, 64],
    "learning_rate": [0.1, 0.05, 0.01, 0.001],
    "weight_decay": [0.0001, 0.00001, 0.001],
    "sgd_momentum": [0.9, 0.8, 0.5],
    "scheduler_gamma": [0.995, 0.9, 0.8, 0.5, 1],
    "pos_weight" : [1.0],  
    "model_embedding_size": [8, 16, 32, 64, 128],
    "model_attention_heads": [1, 2, 3, 4],
    "model_layers": [3],
    "model_dropout_rate": [0.2, 0.5, 0.9],
    "model_top_k_ratio": [0.2, 0.5, 0.8, 0.9],
    "model_top_k_every_n": [0],
    "model_dense_neurons": [16, 128, 64, 256, 32]
}

DRUG_MODEL_HYPERPARAMETERS = {
    "batch_size": 128,
    "learning_rate": 0.01,
    "weight_decay": 0.0001,
    "sgd_momentum": 0.8,
    "scheduler_gamma": 0.9,
    "pos_weight" : 1.0,  
    "model_embedding_size": 32,
    "model_attention_heads": 3,
    "model_layers": 1,
    "model_dropout_rate": 0.5,
    "model_top_k_ratio": 0.5,
    "model_top_k_every_n": 1,
    "model_dense_neurons": 128,
    "model_edge_dim": []
}