import numpy as np
import sys
sys.path.append("../bearx/")
from preprocessing import getSentenceData
from layers import RNN
word_dim = 8000
hidden_dim = 100
X_train, y_train = getSentenceData('data/reddit-comments-2015-08.csv',
word_dim)
np.random.seed(10)
rnn = RNN(word_dim, hidden_dim)
losses = rnn.train(X_train[:100],
y_train[:100],
learning_rate=0.005,
nepoch=10,
evaluate_loss_after=1)
import numpy as np
from preprocessing import getSentenceData
from rnn import Model
word_dim = 8000
hidden_dim = 100
X_train, y_train = getSentenceData('data/reddit-comments-2015-08.csv', word_dim)
np.random.seed(10)
rnn = Model(word_dim, hidden_dim)
losses = rnn.train(X_train[:100], y_train[:100], learning_rate=0.005, nepoch=10, evaluate_loss_after=1)