Open Ayatafoy opened 1 year ago
The default pipelines doesn't support user profile features. There can be workarounds:
collate_feature_dict
. Customized LightningModule composed from ptls models.We keep in mind the problem of joint embeddings for user profile and transactions. Some experiments was made, but without clear result.
Does the library supports using user profile features in addition to sequence of transactions? For example for each user a have hundreds of transactions and hundreds of profile features, that describes each user. And I want to create a foundational model that creates an embedding for each user, based on user transactions and user profile features. Also the use case I have is supervised user classification into n classes based on user transaction history and user profile features. I'm looking for native approach of utilizing transaction features and profile features is one model. Thanks!