import os import rq1_rnn_emb_lstm as rnn import inputs # --- Parameters -- DIM = "1d" # TOKENIZER_OUT_PATH = "../../data/tokenizer_out_cs/" TOKENIZER_OUT_PATH = "/users/pa18/tushar/smellDetectionML/data/tokenizer_out_cs/" # --- smell = "MultifacetedAbstraction" data_path = os.path.join(os.path.join(TOKENIZER_OUT_PATH, smell), DIM) inputs.preprocess_data(data_path) rnn.main(data_path, smell)
import os import rq1_rnn_emb_lstm as rnn import inputs # --- Parameters -- DIM = "1d" # TOKENIZER_OUT_PATH = "../../data/tokenizer_out_cs/" TOKENIZER_OUT_PATH = "/users/pa18/tushar/smellDetectionML/data/tokenizer_out/" # --- smell = "MultifacetedAbstraction" data_path = os.path.join(os.path.join(TOKENIZER_OUT_PATH, smell), DIM) inputs.preprocess_data(data_path) rnn.main(data_path, smell, skip_iter=9)