train_lstm_novalv2.1.py v2.1-滑窗预测模型及预测程序 2个月前 README LGPL-3.0 替换CSV数据,直接运行lstm2.1predict.py 简介 Truck cylinder head cracked prediction Truck failure warning 卡车故障预警 暂无标签 Python LGPL-3.0 发行版 暂无发行版
predictY = model.predict(testX) print("---TEST ERROR---") expected = np.array(testY).flatten() predicted = np.array(predictY).flatten() error = sum(((expected - predicted) **2)/len(expected)) print(error) # Plot and save figure plotFig(testY, np.array(predictY).flatten(), err...
model.add(LSTM(50, dropout_W=0.1, dropout_U=0.1, return_sequences=True)) model.add(Activation("relu")) model.add(LSTM(50, dropout_W=0.1, dropout_U=0.1, return_sequences=False)) # now model.output_shape == (None, 60) model.add(Activation("relu")) model.add(Dense(output_dim=10...
118 model.compile('adam', loss=crf_layer.loss_function, metrics=[crf_layer.accuracy]) 119 model.summary() 120 return model 121 122 if __name__ == '__main__': 123 ner = LSTMNER() 124 while 1: 125 s = input('enter an sent:').strip() 126 ner.predict(s) 127 ...
python LSTM：如何将predict(x_test)的结果作为2d只需删除最后一层LSTM的return_sequences=True。因此，...
Encoder层采用了2层的双向 LSTM网络结构(网络层数由 parameter_config.py 文件中的 ENC_LAYERS 设置),并在网络结构和输入序列加入了 dropout 的处理,防止过拟合(对比加入 dropout前后的效果,可以很明显的降低过拟合),dropout保留率分别可由parameter_config.py 文件中的 NN_KEEP_PROB 和EMB_KEEP_PROB设置。模型采用...
The proposed CNN-LSTM model shows that cycle length can be accurately predicted with an MAE of 7 to 16 s and phase duration can be predicted with an MAE of 3 to 8 s. The trained model was also successfully validated at five different unknown intersections....
python pred python predict函数与lstm的区别 python知识点小记(1) 引言 最近在了解学习NER的一篇文章和一项实践,由于之前没有python语言的基础,学习代码着实有些吃力,因此,写几篇我在代码中学到的python知识点;其中的叙述可能会很杂很乱,不像教程那样先后有序,但我会尽量碎片化、相关化。
master Breadcrumbs lottery/ lstm predict result.TXTLatest commit HistoryHistory File metadata and controls Code Blame 3065 lines (3065 loc) · 77.9 KB Raw 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 ...
predict ExpSmoothPredict.class LstmPredict.class Predict.class utils FileUtil.class LogUtil$Time.class LogUtil.class ecsLSTM.iml src/com/ecsgroup EcsAppStart.java data TrainData.txt TrainData.xlsx TrueData.txt input.txt myresult.txt result.txt results.txt test.txt ...