so i want to make a lstm network to run on my data but i get this message:
ValueError: Error when checking input: expected lstm_1_input to have shape (None, 1) but got array with shape (1, 557)
this is my code:
x_train=numpy.array(x_train) x_test=numpy.array(x_test) x_train = numpy.reshape(x_train, (x_train.shape[0], 1, x_train.shape[1])) x_test = numpy.reshape(x_test, (x_test.shape[0], 1, x_test.shape[1])) # create and fit the LSTM network model = Sequential() model.add(LSTM(50, input_shape=(1,len(x_train[0]) ))) model.add(Dense(1)) model.add(Dropout(0.2)) model.compile(loss='mean_squared_error', optimizer='adam') model.fit(x_train, numpy.array(y_train), epochs=100, batch_size=1, verbose=2)
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Answer
You need to change the input_shape
value for LSTM
layer. Also, x_train
must have the following shape
.
x_train = x_train.reshape(len(x_train), x_train.shape[1], 1)
So, change
x_train = numpy.reshape(x_train, (x_train.shape[0], 1, x_train.shape[1])) model.add(LSTM(50, input_shape=(1,len(x_train[0]) )))
to
x_train = x_train.reshape(len(x_train), x_train.shape[1], 1) model.add(LSTM(50, input_shape=(x_train.shape[1], 1) )))