基于PaddlePaddle text_cnn文本分类
基于PaddlePaddletext_cnn文本分类
一、更新位置
1 所有文件的路径/home/aistudio/data 改成./data/
2 train.py 64行增加paddle.enable_static()#####add by mart 21-3-19
3 predict.py 8行增加paddle.enable_static()#####add by mart 21-3-19
4 predict.py 35行改成data.append(np.int64(dict_txt[s]))#change by mart 21-3-19
二、
data.py 生产字典构造数据集
train.py 训练模型
predict.py 基于训练好的模型进行预测
data 存放数据集的文件夹
work 存放模型的文件夹
三、
运行predict.py结果示例
预测结果标签为：0， 名称为：文化， 概率为：0.906921
预测结果标签为：8， 名称为：国际， 概率为：0.488133
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