for iteration in range(num_iterations):
# train
X_train_batch, y_train_batch = helper.nextBatch(X_train, y_train, start_index=iteration * self.batch_size, batch_size=self.batch_size)
y_train_weight_batch = 1 + np.array((y_train_batch == label2id['B']) | (y_train_batch == label2id['E']), float)
transition_batch = helper.getTransition(y_train_batch)
你好,BILSTM_CRF.py文件中第173行的这个y_train_weight_batch的含义是什么?
你好,BILSTM_CRF.py文件中第173行的这个y_train_weight_batch的含义是什么?