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# Keras==1.0.6 | |
import numpy as np | |
from keras.models import Sequential | |
from keras.layers.recurrent import LSTM | |
from keras.layers.core import TimeDistributedDense, Activation | |
from keras.preprocessing.sequence import pad_sequences | |
from keras.layers.embeddings import Embedding | |
from sklearn.cross_validation import train_test_split | |
from sklearn.metrics import confusion_matrix, accuracy_score, precision_recall_fscore_support |
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""" | |
feature extraction for representing groups of items | |
the order of items in a group is irrelevant | |
================================================== | |
X = list of tokens: [t1,t2,t3,t4,t5] | |
Y = list of group tags: [S ,C ,C ,S ,C ] | |
F = list of features representing X: | |
-------------------------------------------------- | |
X[0] = t1 Y[0] = S F[0] = {token=t1} | |
X[1] = t2 Y[1] = C F[1] = {token=t2, group_has__t1=1} |