step 7 - instantiate the model.py

model = Sequential()
model.add(LSTM(150, activation='relu', input_shape=(n_input, n_features)))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mse')
model.summary()



>>>
Model: "sequential_1"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm_1 (LSTM)                (None, 150)               92400     
_________________________________________________________________
dense_1 (Dense)              (None, 1)                 151       
=================================================================
Total params: 92,551
Trainable params: 92,551
Non-trainable params: 0