Open LF-DevJourney opened 2 years ago
I use recommender to recommend songs. When I use the default recommender, it works well.
model = turicreate.recommender.create(training_data, 'user_id', 'song_id', target='rank')
But when I changed it to item_similarity_recommender I get the segmentation fault(core dumped) exception.
model = turicreate.item_similarity_recommender.create(actions, 'user_id', 'song_id', target='rank')
Please share the entire output of turicreate.item_similarity_recommender.create.
turicreate.item_similarity_recommender.create
What does training_data['rank'] look like?
training_data['rank']
I use recommender to recommend songs. When I use the default recommender, it works well.
model = turicreate.recommender.create(training_data, 'user_id', 'song_id', target='rank')
But when I changed it to item_similarity_recommender I get the segmentation fault(core dumped) exception.
model = turicreate.item_similarity_recommender.create(actions, 'user_id', 'song_id', target='rank')