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import os | ||
import sys | ||
from network import data_features_dumper as dr | ||
from network import computation_graph | ||
from network.trainer_neighbor_parse import Trainer | ||
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# path = '/home/srq/Datasets/tables/unlv-for-nlp/train' | ||
# glove_path = '/media/srq/Seagate Expansion Drive/Models/GloVe/glove.840B.300d.txt' | ||
# | ||
# data_reader = dr.DataReader(path, glove_path, 'train') | ||
# data_reader.load() | ||
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trainer = Trainer() | ||
trainer.init(dump_features_again=False) | ||
trainer.train() |