validation_labels, validation_asins, validation_reviewerIDs = pre_work.GenerateLabelEncoding(
USER, (num_of_reviews + num_of_rating) + idx, 1, itemObj, userObj)
_batch_labels, _asins, _reviewerIDs = pre_work.GenerateBatchLabelCandidate(
validation_labels, validation_asins, validation_reviewerIDs,
batch_size)
validate_batch_labels.append(_batch_labels)
validate_asins.append(_asins)
validate_reviewerIDs.append(_reviewerIDs)
#%% Generate training batches
if (trainOption or validationOption):
# Get training asin batches
training_batches = pre_work.GenerateTrainingBatches(
USER, itemObj, num_of_reviews=num_of_reviews, batch_size=batch_size)
# %%
if (trainOption):
Train(voc,
selectTable,
training_batches,
candidate_asins,
candidate_reviewerIDs,
training_batch_labels,
directory,
TrainEpoch=trainingEpoch,
isStoreModel=True,
WriteTrainLoss=True,
store_every=2,
batch_size=batch_size)
validation_labels, validation_asins, validation_reviewerIDs,
batch_size)
validate_batch_labels.append(_batch_labels)
validate_asins.append(_asins)
validate_reviewerIDs.append(_reviewerIDs)
else:
validate_batch_labels = None
validate_asins = None
validate_reviewerIDs = None
# Generate training batches
if (trainOption):
training_batches, training_asin_batches = pre_work.GenerateTrainingBatches(
USER,
itemObj,
voc,
num_of_reviews=num_of_reviews,
batch_size=batch_size)
if (trainOption):
Train(voc,
selectTable,
training_batches,
training_asin_batches,
candidate_asins,
candidate_reviewerIDs,
training_batch_labels,
validate_batch_labels,
validate_asins,
validate_reviewerIDs,
directory,
