c2pf_example.py

# Copyright 2018 The Cornac Authors. All Rights Reserved.
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# ============================================================================
"""Fit to and evaluate C2PF on the Office Amazon dataset"""

from cornac.data import GraphModality
from cornac.eval_methods import RatioSplit
from cornac.experiment import Experiment
from cornac import metrics
from cornac.models import C2PF
from cornac.datasets import amazon_office as office

# Load office ratings and item contexts, see C2PF paper for details
ratings = office.load_feedback()
contexts = office.load_graph()

item_graph_modality = GraphModality(data=contexts)

ratio_split = RatioSplit(data=ratings,
                         test_size=0.2, rating_threshold=3.5,
                         exclude_unknowns=True, verbose=True,
                         item_graph=item_graph_modality)

c2pf = C2PF(k=100, max_iter=80, variant='c2pf')

# Evaluation metrics
nDgc = metrics.NDCG(k=-1)
mrr = metrics.MRR()
rec = metrics.Recall(k=20)
pre = metrics.Precision(k=20)

# Instantiate and run your experiment
exp = Experiment(eval_method=ratio_split,
                 models=[c2pf],
                 metrics=[nDgc, mrr, rec, pre])
exp.run()