SYMBOL INDEX (64 symbols across 13 files)

FILE: code/TFNN/activations.py
  function get_activation (line 9) | def get_activation(activation=None):

FILE: code/TFNN/layers/ConvolutionalLayer.py
  class Convolutional1D (line 14) | class Convolutional1D(object):
    method __init__ (line 16) | def __init__(self, input_data, filter_length, nb_filter, strides=[1, 1...
    method call (line 68) | def call(self):
    method input_data (line 89) | def input_data(self):
    method output (line 93) | def output(self):
    method output_dim (line 97) | def output_dim(self):
    method get_weights (line 100) | def get_weights(self):

FILE: code/TFNN/layers/DenseLayer.py
  class SoftmaxDense (line 12) | class SoftmaxDense(object):
    method __init__ (line 14) | def __init__(self, input_data, input_dim, output_dim, weights=None,
    method call (line 46) | def call(self):
    method loss (line 55) | def loss(self, y):
    method get_pre_y (line 62) | def get_pre_y(self):
    method input_data (line 69) | def input_data(self):
    method input_dim (line 73) | def input_dim(self):
    method output_dim (line 77) | def output_dim(self):
    method name (line 81) | def name(self):
    method weights (line 85) | def weights(self):
    method biases (line 89) | def biases(self):
    method output (line 93) | def output(self):

FILE: code/TFNN/layers/EmbeddingLayer.py
  class Embedding (line 11) | class Embedding(object):
    method __init__ (line 13) | def __init__(self, params, ids, name, keep_prob=1.0):
    method params (line 26) | def params(self):
    method output_dim (line 30) | def output_dim(self):
    method output (line 34) | def output(self):

FILE: code/TFNN/objectives.py
  function categorical_crossentropy (line 6) | def categorical_crossentropy(y_true, y_pred):

FILE: code/TFNN/utils/data_util.py
  function flatten_list (line 9) | def flatten_list(nest_list):
  function create_dictionary (line 26) | def create_dictionary(items, dic_path, start=0, sort=True,
  function map_item2id (line 70) | def map_item2id(items, voc, max_len, none_word=0, lower=False):
  function random_over_sampling (line 90) | def random_over_sampling():
  function demo (line 108) | def demo():

FILE: code/TFNN/utils/evaluate_util.py
  function sim_compute (line 8) | def sim_compute(pro_labels, right_labels, ignore_label=None):
  function demo (line 43) | def demo():

FILE: code/TFNN/utils/io_util.py
  function read_lines (line 7) | def read_lines(path):
  function get_file_list (line 17) | def get_file_list(path, postfix, file_list):

FILE: code/TFNN/utils/tensor_util.py
  function zero_nil_slot (line 6) | def zero_nil_slot(t, name=None):
  function add_gradient_noise (line 23) | def add_gradient_noise(t, stddev=1e-3, name=None):
  function mask_tensor (line 39) | def mask_tensor(input_data, lengths, maxlen, dtype=tf.float32):

FILE: code/load_data.py
  function get_sentence_arr (line 14) | def get_sentence_arr(words_tags, word_voc, tag_voc):
  function init_data (line 39) | def init_data(lines, word_voc, tag_voc, label_voc):
  function load_embedding (line 72) | def load_embedding():
  function load_voc (line 88) | def load_voc():
  function load_train_data (line 105) | def load_train_data(word_voc, tag_voc, label_voc):
  function load_test_data (line 118) | def load_test_data(word_voc, tag_voc, label_voc):
  function demo (line 132) | def demo():

FILE: code/model_dc.py
  class DCModel (line 19) | class DCModel(object):
    method __init__ (line 21) | def __init__(self, max_len, word_weights, tag_weights, result_path=Non...
    method fit (line 100) | def fit(self, sentences_train, tags_train, labels_train,
    method predict (line 159) | def predict(self, data_sentences, data_tags, batch_size=50):
    method evaluate (line 182) | def evaluate(self, data_sentences, data_tags, data_labels,
    method clear_model (line 211) | def clear_model(self):
    method get_best_score (line 215) | def get_best_score(self):
  function predict (line 231) | def predict():
  function init_result (line 295) | def init_result():
  function merge (line 307) | def merge():

FILE: code/prepare_data.py
  function init_voc (line 22) | def init_voc():
  function init_word_embedding (line 57) | def init_word_embedding(path=None, overwrite=False):
  function init_tag_embedding (line 84) | def init_tag_embedding(path, overwrite=False):
  function init_embedding (line 103) | def init_embedding():
  function demo (line 115) | def demo():

FILE: code/train_w2v_model.py
  function get_sentence (line 11) | def get_sentence(sentence_tag):
  function extract_sentece (line 19) | def extract_sentece():
  function train (line 29) | def train():
  function bin2pkl (line 41) | def bin2pkl():