config_tSNE.yaml

pretrain_path: 'data/pretrain_1M.csv'               # pretrain file path
PE_I_path: 'data/PE_I.csv'                       # PE-I file path
PE_II_path: 'data/PE_II.csv'                     # PE-II file path
Egc_path: 'data/Egc.csv'                         # Egc file path
Egb_path: 'data/Egb.csv'                         # Egb file path
Eea_path: 'data/Eea.csv'                         # Eea file path
Ei_path: 'data/Ei.csv'                           # Ei file path
Xc_path: 'data/Xc.csv'                           # Xc file path
EPS_path: 'data/EPS.csv'                         # EPS file path
Nc_path: 'data/Nc.csv'                           # Nc file path
OPV_path: 'data/OPV.csv'                         # OPV file path

pretrain_label: 'Pretrain (1M)'
PE-I_label: 'PE-I'
PE-II_label: 'PE-II'
Egc_label: 'Egc'                         
Egb_label: 'Egb'                         
Eea_label: 'Eea'                         
Ei_label: 'Ei'                          
Xc_label: 'Xc'                          
EPS_label: 'EPS'                         
Nc_label: 'Nc'                         
OPV_label: 'OPV'                        

save_path: 'figs/tSNE_1M.png'                       # save path of tSNE visualization

blocksize: 512                                   # max length of sequences after tokenization
batch_size: 64                                   # batch size

perplexity: 50                                   # perplexity of t-SNE
metric: 'euclidean'                              # metric of t-SNE
n_jobs: 8                                        # n_jobs of t-SNE
verbose: True                                    # verbose of t-SNE