from agreement_acceptor import FullGramSentence
import filenames
pvn = FullGramSentence(filenames.deps,
prop_train=0.1,
output_filename='output_log.txt',
len_after_verb=10)
pvn.pipeline(train=False,
load=True,
model="gru_fullGram.pkl",
load_data=True,
epochs=10,
model_prefix='gru_fullGram',
test_size=0,
data_name='fullGram')
from agreement_acceptor import FullGramSentence
import filenames
pvn = FullGramSentence(filenames.deps,
prop_train=0.8,
output_filename='output_log.txt',
len_after_verb=10,
embedding_size=50,
hidden_dim=50)
pvn.pipeline(train=False,
load=True,
model="lstm_fullGram_100_50_emb.pkl",
load_data=False,
epochs=10,
model_prefix='lstm_fullGram',
test_size=7000,
data_name='fullGram',
test_external=True,
load_external=True,
external_file=filenames.external_file)
from agreement_acceptor import FullGramSentence
import filenames
pvn = FullGramSentence(filenames.deps,
prop_train=0.1,
output_filename='output_log.txt',
len_after_verb=10,
embedding_size=50,
hidden_dim=50)
pvn.pipeline(train=True,
load_data=True,
epochs=10,
model_prefix='lstm_fullGram',
test_size=7000,
data_name='fullGram')
from agreement_acceptor import FullGramSentence import filenames pvn = FullGramSentence(filenames.deps, prop_train=0.8,hidden_dim=100,embedding_size=100, output_filename='output_log.txt', len_after_verb=10,embedding_size=50, hidden_dim = 50) pvn.pipeline(train=True,load=False,model="lstm_fullGram_100.pkl", load_data=True, epochs=10, model_prefix='lstm_fullGram_100',test_size=7000, data_name='fullGram')