baselines_conf.py

"""
This module gives an example of how to configure baseline estimates
computation.
"""

from surprise import BaselineOnly, Dataset, KNNBasic
from surprise.model_selection import cross_validate


# Load the movielens-100k dataset.
data = Dataset.load_builtin("ml-100k")

# Example using ALS
print("Using ALS")
bsl_options = {"method": "als", "n_epochs": 5, "reg_u": 12, "reg_i": 5}
algo = BaselineOnly(bsl_options=bsl_options)

cross_validate(algo, data, verbose=True)

# Example using SGD
print("Using SGD")
bsl_options = {
    "method": "sgd",
    "learning_rate": 0.00005,
}
algo = BaselineOnly(bsl_options=bsl_options)

cross_validate(algo, data, verbose=True)

# Some similarity measures may use baselines. It works just the same.
print("Using ALS with pearson_baseline similarity")
bsl_options = {
    "method": "als",
    "n_epochs": 20,
}
sim_options = {"name": "pearson_baseline"}
algo = KNNBasic(bsl_options=bsl_options, sim_options=sim_options)

cross_validate(algo, data, verbose=True)