Python, Keras, RNN: cannot copy sequence with size 7 to array axis with dimension 5

Question

When I Run this code:

model = Sequential([
    LSTM(300, activation='tanh', input_shape=data.shape, recurrent_activation='sigmoid'),
    Dropout(0.2),
    Dense(4, activation='linear')
])
model.compile(optimizer='adam', loss='mse')
history = model.fit_generator(training, epochs=22, steps_per_epoch=1)

This error pops up: ValueError: cannot copy sequence with size 7 to array axis with dimension 5 I don't know how to handle that. Yesterday, the code worked perfectly. In other threads I've found; the error might be related to np.vstack. This is the thread I'm writing about.

I've tried to change the data to a np.array but it did not work. Can anyone help?

This might be useful: training = TimeseriesGenerator(data, data, length=7, batch_size=6)

TimeseriesGenerator is from keras.preprocessing.sequence

user511093 · Accepted Answer · 2020-12-09 02:00:58Z

0

You need input numpy arrays into Keras' TimeSeries generator, not directly DataFrames, you can do data.values for pass numpy only.

answered Dec 9, 2020 at 2:00

user511093

1

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