Keras TimeSeries - Regression with negative values
up vote 0 down vote favorite I am trying to make regression tasks for time series, my data is like the below, i make window size of 10, and input feature as below, and target is the 5th column. as you see it has data of 70, 110, -100, 540,-130, 50 My model as below: model = Sequential(( Conv1D(filters=filters, kernel_size=kernel_size, activation='relu', input_shape=(window_size, nb_series)), MaxPooling1D(), Conv1D(filters=filters, kernel_size=kernel_size, activation='relu'), MaxPooling1D(), Flatten(), Dense(nb_outputs, activation='linear'), )) model.compile(loss='mse', optimizer='adam', metrics=['mae']) My Input features as below: 0.00000000,0.42857143,0.57142857,0.00000000,70.00000000,1.00061741,1.00002238,22.40000000,24.85000000,30.75000000,8.10000000,1.00015876,1.00294701,0.99736059,-44.57995000,1.00166700,0.99966561,-0.00003286,0.00030157,1.00252034,49.18000000,40.96386000,19.74918000,-62.22000000 0.00000000,0.09090...