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from keras.layers import Recurrent | |
import keras.backend as K | |
from keras import activations | |
from keras import initializers | |
from keras import regularizers | |
from keras import constraints | |
from keras.engine import Layer | |
from keras.engine import InputSpec |
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""" | |
This is a batched LSTM forward and backward pass | |
""" | |
import numpy as np | |
import code | |
class LSTM: | |
@staticmethod | |
def init(input_size, hidden_size, fancy_forget_bias_init = 3): |
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"""A simple implementation of a greedy transition-based parser. Released under BSD license.""" | |
from os import path | |
import os | |
import sys | |
from collections import defaultdict | |
import random | |
import time | |
import pickle | |
SHIFT = 0; RIGHT = 1; LEFT = 2; |
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#-*- coding:utf-8 - *- | |
def load_dataset(): | |
"Load the sample dataset." | |
return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]] | |
def createC1(dataset): | |
"Create a list of candidate item sets of size one." |