Train_RSNR = not True
Test_RSNR = not True
randomSetup = 3
# For real-time testing
through_table = True
user_based = False
selectTable = 'clothing_'
res, itemObj, userObj = pre_work.loadData(
testing=False, table='clothing_', through_table=True) # for clothing.
# Generate voc & User information
voc, USER = pre_work.Generate_Voc_User(res,
havingCount=havingCount,
limit_user=2500,
user_based=user_based)
# Generate training labels
training_batch_labels = list()
candidate_asins = list()
candidate_reviewerIDs = list()
for idx in range(0, num_of_rating, 1):
training_labels, training_asins, training_reviewerIDs = pre_work.GenerateLabelEncoding(
USER, num_of_reviews + idx, 1, itemObj, userObj)
_batch_labels, _asins, _reviewerIDs = pre_work.GenerateBatchLabelCandidate(
training_labels, training_asins, training_reviewerIDs, batch_size)
batch_size = 16
num_of_rating = 1
num_of_validate = 3
# %%
selectTable = 'clothing_'
res, itemObj, userObj = pre_work.loadData(
havingCount=6,
sqlfile="HNAE/SQL/[email protected]",
LIMIT=1000,
testing=False,
table='clothing_') # for clothing.
# res, itemObj, userObj = loadData(havingCount=20, LIMIT=2000, testing=False, table='elec_') # for elec.
# res, itemObj, userObj = pre_work.loadData(havingCount=15, LIMIT=1000, testing=False, table='toys_') # for toys
voc, USER = pre_work.Generate_Voc_User(res, havingCount=6)
#%% Generate training labels
training_batch_labels = list()
candidate_asins = list()
candidate_reviewerIDs = list()
for idx in range(0, num_of_rating, 1):
training_labels, training_asins, training_reviewerIDs = pre_work.GenerateLabelEncoding(
USER, num_of_reviews + idx, 1, itemObj, userObj)
_batch_labels, _asins, _reviewerIDs = pre_work.GenerateBatchLabelCandidate(
training_labels, training_asins, training_reviewerIDs, batch_size)
training_batch_labels.append(_batch_labels)
else:
through_table = False
user_based = True
pass
selectTable = 'clothing_'
res, itemObj, userObj = pre_work.loadData(
havingCount=15,
LIMIT=2000,
testing=False,
table='clothing_',
sqlfile='HNAE/SQL/[email protected]') # for clothing.
# Generate voc & User information
voc, USER = pre_work.Generate_Voc_User(res,
havingCount=15,
limit_user=1000)
# Generate training labels
training_batch_labels = list()
candidate_asins = list()
candidate_reviewerIDs = list()
for idx in range(0, num_of_rating, 1):
training_labels, training_asins, training_reviewerIDs = pre_work.GenerateLabelEncoding(
USER, num_of_reviews + idx, 1, itemObj, userObj)
_batch_labels, _asins, _reviewerIDs = pre_work.GenerateBatchLabelCandidate(
training_labels, training_asins, training_reviewerIDs, batch_size)
