//使用模型初始化tag，必须先使用该函数初始化才能使用add和parse
//正常返回为0， 错误返回<0
public int init_by_model(ModelReader model_p)
{
featureIndex = model_p;
ysize_ = (short)model_p.ysize();
if (nbest_ > 1)
{
//Only allocate heap when nbest is more than 1
heap_queue = BaseUtils.heap_init((int)(crf_max_word_num * ysize_ * ysize_));
}
//Initialize feature set cache according unigram and bigram templates
InitializeFeatureCache();
node_ = new Node[crf_max_word_num, ysize_];
result_ = new short[crf_max_word_num];
//Create node and path cache
for (short cur = 0; cur < crf_max_word_num; cur++)
{
for (short i = 0; i < ysize_; i++)
{
var n = new Node();
node_[cur, i] = n;
n.lpathList = new List <Path>();
n.rpathList = new List <Path>();
n.x = cur;
n.y = i;
}
}
for (var cur = 1; cur < crf_max_word_num; cur++)
{
for (var j = 0; j < ysize_; ++j)
{
for (var i = 0; i < ysize_; ++i)
{
var p = new Path();
p.add(node_[cur - 1, j], node_[cur, i]);
}
}
}
return(BaseUtils.RETURN_SUCCESS);
}
