def new_test():
feed_dict = {
self.x: ev_x,
self.doc_len: ev_doc_len,
self.keep_prob: 1.0,
}
y_true = ev_y
y_pred_p = sess.run(prob, feed_dict=feed_dict)
y_pred = calibrated_label_ranking(y_pred_p, For_calibrated_B)
Emotion_eval(y_true, y_pred, y_pred_p)
def new_test():
feed_dict = {
self.x: te_x,
self.doc_len: te_doc_len,
self.keep_prob: 1.0,
}
y_true = np.ceil(te_y)
y_pred_p = sess.run(prob, feed_dict=feed_dict)
#修改 ： 采用calibrated label ranking 算法
# y_pred = np.ceil(y_pred_p-1.0/8)
y_pred = calibrated_label_ranking(y_pred_p)
Emotion_eval(y_true, y_pred, y_pred_p)