Timeseries generator with LSTM

Question

Trying to create a generator for a LSTM and am running into an error during the.fit_generator(), after I run it the error is

ValueError: Error when checking input: expected lstm_3_input to have 3 dimensions, but got array with shape (1, 5)

and I'm not really sure how to reshape the data when it is in a generator.

n_features=1
series=train_temp.reshape((len(train_temp),n_features))

generator=TimeseriesGenerator(train_temp,train_temp,length=5,batch_size=1)

model = Sequential()
model.add( LSTM(200, activation='relu', input_shape=(5, 1)))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mse')

model.fit_generator(generator, epochs=90,steps_per_epoch=2)

Answer 1

Try printing the shape of input vectors being generated by TimeseriesGenerator and compare it with input shape of your LSTM layer . Looking at the exception i guess your input shape should be (5, ) and not (5, 1)