(self)
| 11 | |
| 12 | class MyLSTM(object): |
| 13 | def __init__(self): |
| 14 | self.max_abs_weight = 32 # 最大权重绝对值，用来对词向量做正规化 |
| 15 | self.max_seq_len = 8 # 最大句子长度(词) |
| 16 | self.word_vec_dim = 0 # 词向量维度，读vectors.bin二进制时动态确定 |
| 17 | self.epoch = 1000 |
| 18 | self.word_vector_dict = {} # 词向量词典，加载vectors.bin读入 |
| 19 | self.one_hot_word_vector_dict = {} # 根据样本词汇生成的softmax用的词向量 |
| 20 | self.word_id_word_dict = {} |
| 21 | self.one_hot_word_vectors_dim = 1 # softmax用的词向量维度，从1开始，保留0作为EOS的word_id |
| 22 | self.eos_word_id = 0 |
| 23 | self.eos_word = 'EOS' |
| 24 | self.vectors_bin_file = './vectors.bin' # 词向量二进制 |
| 25 | self.model_dir = './model/model' # 模型文件路径 |
| 26 | self.n_hidden = 1000 # lstm隐藏状态单元数目 |
| 27 | self.learning_rate = 0.01 # 学习率 |
| 28 | |
| 29 | def load_one_hot_word_vectors(self): |
| 30 |
nothing calls this directly
no outgoing calls
no test coverage detected