I understand everything in Lesson 1 up to the Analyzing results: looking at pictures part.
Can someone please help me understand what is this code doing?
# this gives prediction for validation set. Predictions are in log scale
log_preds = learn.predict()
log_preds.shape
// (2000, 2)
log_preds[:10]
// array([[ -0.00002, -11.07446],
[ -0.00138, -6.58385],
[ -0.00083, -7.09025],
[ -0.00029, -8.13645],
[ -0.00035, -7.9663 ],
[ -0.00029, -8.15125],
[ -0.00002, -10.82139],
[ -0.00003, -10.33846],
[ -0.00323, -5.73731],
[ -0.0001 , -9.21326]], dtype=float32)
What are these predictions? How do you read them?
(PS if it’s ok, could you also please explain all the code that comes after this, in the same Analyzing results: looking at pictures section?)