config.py

class Config(object):
    data_filename = './dataset_cleaned.smi'
    exp_name = 'LSTM_Chem'
    data_length = 0
    units = 256
    num_epochs = 42
    optimizer = 'adam'
    seed = 71
    batch_size = 128
    validation_split = 0.1
    verbose_training = True
    checkpoint_monitor = 'val_loss'
    checkpoint_mode = 'min'
    checkpoint_save_best_only = False
    checkpoint_save_weights_only = True
    checkpoint_verbose = 1
    tensorboard_write_graph = True
    sampling_temp = 0.75
    smiles_max_length = 128
    finetune_epochs = 5
    finetune_batch_size = 1
    finetune_data_filename = ''
    exp_dir = './code_exp/LSTM_Chem/'
    tensorboard_log_dir = './code_exp/LSTM_Chem/logs/'
    checkpoint_dir = './code_exp/LSTM_Chem/checkpoints/'
    train_smi_max_len = 128
    model_arch_filename = './code_exp/LSTM_Chem/model_arch.json'
    model_weight_filename = './code_exp/LSTM_Chem/checkpoints/LSTM_Chem-baseline-model-full.hdf5'