def test_load_data_from_csv_with_initial_mapping():
csv = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'data',
'data.csv')
data, user_index, item_index = load_data_from_csv(csv, {
'user_id7': 0,
'user_id3': 1
}, {
'item_id53': 0,
'item_id32': 1
})
assert_equal(data, [
(2, 2),
(1, 3),
(0, 0),
(0, 1),
(0, 3),
(3, 4),
(3, 1),
])
assert_equal(user_index, {
'user_id7': 0,
'user_id3': 1,
'user_id1': 2,
'user_id8': 3,
})
assert_equal(
item_index, {
'item_id53': 0,
'item_id32': 1,
'item_,id10': 2,
'item_id0': 3,
'item_id3': 4,
})
def test_load_data_from_csv_with_initial_mapping():
csv = os.path.join(os.path.abspath(os.path.dirname(__file__)), "data", "data.csv")
data, user_index, item_index = load_data_from_csv(
csv, {"user_id7": 0, "user_id3": 1}, {"item_id53": 0, "item_id32": 1}
)
assert_equal(data, [(2, 2), (1, 3), (0, 0), (0, 1), (0, 3), (3, 4), (3, 1)])
assert_equal(user_index, {"user_id7": 0, "user_id3": 1, "user_id1": 2, "user_id8": 3})
assert_equal(item_index, {"item_id53": 0, "item_id32": 1, "item_,id10": 2, "item_id0": 3, "item_id3": 4})
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from theano_bpr.utils import load_data_from_csv
from theano_bpr import BPR
import sys
if len(sys.argv) != 3:
print "Usage: ./example.py training_data.csv testing_data.csv"
sys.exit(1)
# Loading train data
train_data, users_to_index, items_to_index = load_data_from_csv(sys.argv[1])
# Loading test data
test_data, users_to_index, items_to_index = load_data_from_csv(
sys.argv[2], users_to_index, items_to_index)
# Initialising BPR model, 10 latent factors
bpr = BPR(10, len(users_to_index.keys()), len(items_to_index.keys()))
# Training model, 30 epochs
bpr.train(train_data, epochs=30)
# Testing model
print bpr.test(test_data)
# 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from theano_bpr.utils import load_data_from_csv
from theano_bpr import BPR
import sys
if len(sys.argv) != 3:
print "Usage: ./example.py training_data.csv testing_data.csv"
sys.exit(1)
# Loading train data
train_data, users_to_index, items_to_index = load_data_from_csv(sys.argv[1])
# Loading test data
test_data, users_to_index, items_to_index = load_data_from_csv(sys.argv[2], users_to_index, items_to_index)
# Initialising BPR model, 10 latent factors
bpr = BPR(10, len(users_to_index.keys()), len(items_to_index.keys()))
# Training model, 30 epochs
bpr.train(train_data, epochs=30)
# Testing model
print bpr.test(test_data)