KNN predictions
With the data in the correct shape from the last exercise, you can now use it to infer how user_001 feels about Apollo 13 (1995)
As a reminder, the data you prepared in the last exercise (and have been loaded into this one) are:
target_user_x- Centered ratings thatuser_001has given to the movies they have seen.other_users_x- Centered ratings for all other users and the movies they have rated excluding the movie Apollo 13.other_users_y- Raw ratings that all other users have given the movie Apollo 13.
You will use other_users_x and other_users_y to fit a KNeighborsRegressor from scikit-learn and use it to predict what user_001 might have rated Apollo 13 (1995).
Cet exercice fait partie du cours
Building Recommendation Engines in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Import the regressor
from sklearn.neighbors import ____
# Instantiate the user KNN model
user_knn = KNeighborsRegressor(____=____, ____=____)