1. Learn
    2. /
  2. Courses
    3. /
  3. Intermediate Deep Learning with PyTorch
Connected

Exercise

Evaluating forecasting models

It's evaluation time! The same LSTM network that you have trained in the previous exercise has been trained for you for a few more epochs and is available as net.

Your task is to evaluate it on a test dataset using the Mean Squared Error metric (torchmetrics has already been imported for you). Let's see how well the model is doing!

Instructions

100 XP
  • Define the Mean Squared Error metrics and assign it to mse.
  • Pass the input sequence to net, and squeeze the result before you assign it to outputs.
  • Compute the final value of the test metric assigning it to test_mse.