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求解救，LSTM时间序列预测

2019/7/30镜像同步5 回复

参数不知道怎么填呀，问题如下：现在有一组时间序列数据，每个时间点的features为7，想通过前三组时间序列数据预测后两组，于是我把数据reshape成如下的鬼样子： train_X(43796, 3, 7) [[[0.12977867 0.35294122 0.24590163 ... 0.00229001 0. 0. ] [0.14889336 0.36764708 0.24590163 ... 0.00381099 0. 0. ] [0.15995975 0.4264706 0.22950819 ... 0.00533197 0. 0. ]] [[0.14889336 0.36764708 0.24590163 ... 0.00381099 0. 0. ] [0.15995975 0.4264706 0.22950819 ... 0.00533197 0. 0. ] [0.18209255 0.48529413 0.22950819 ... 0.00839101 0.03703704 0. ]] [[0.15995975 0.4264706 0.22950819 ... 0.00533197 0. 0. ] [0.18209255 0.48529413 0.22950819 ... 0.00839101 0.03703704 0. ] [0.13883299 0.48529413 0.22950819 ... 0.00991199 0.07407407 0. ]] ... train_y(43796, 2, 7) [[[0.18209255 0.48529413 0.22950819 ... 0.00839101 0.03703704 0. ] [0.13883299 0.48529413 0.22950819 ... 0.00991199 0.07407407 0. ]] [[0.13883299 0.48529413 0.22950819 ... 0.00991199 0.07407407 0. ] [0.10965794 0.48529413 0.21311474 ... 0.01143297 0.11111111 0. ]] [[0.10965794 0.48529413 0.21311474 ... 0.01143297 0.11111111 0. ] [0.1056338 0.48529413 0.21311474 ... 0.01449201 0.14814815 0. ]] ... 好的，我觉得没什么问题啊，但是天要搞我，LSTM模型如下： ``` # design network model = Sequential() model.add(LSTM(50,input_shape=(train_X.shape[1], train_X.shape[2]),return_sequences=True)) model.add(Dense(train_y.shape[2])) model.summary() model.compile(loss='mae', optimizer='adam') # fit network # history = model.fit(train_X, train_y, epochs=50, batch_size=1, validation_data=(test_X, test_y), verbose=2, shuffle=False) history = model.fit(train_X, train_y, epochs=50, batch_size=72, verbose=2, shuffle=False) ``` 求问这里面的参数到底怎么写 ``` model.add(LSTM(50,input_shape=(train_X.shape[1], train_X.shape[2]),return_sequences=True)) model.add(Dense(train_y.shape[2])) ``` 因为现在跑的话都是这个错误 ``` _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_51 (LSTM) (None, 3, 50) 11600 _________________________________________________________________ dense_47 (Dense) (None, 3, 7) 357 ================================================================= Total params: 11,957 Trainable params: 11,957 Non-trainable params: 0 _________________________________________________________________ ValueError: Error when checking target: expected dense_47 to have shape (3, 7) but got array with shape (2, 7) ``` 我想要的是3*7输入预测出2*7 毕不了业了，救命啊

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