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Check share of empty users/items history in train log. Compare number of unique idxes with maximal idx for users and items and print warning informing on share of "empty" users/items and negative effects.
Motivation
To make a preprocessing sequence:
DataPreparator (get spark dataframe with valid data types) - Splitters/Filters (split/crop dataframe) - Indexer (create indexers for train at first)
The text was updated successfully, but these errors were encountered:
🚀 Feature Request
Check share of empty users/items history in train log. Compare number of unique idxes with maximal idx for users and items and print warning informing on share of "empty" users/items and negative effects.
Motivation
To make a preprocessing sequence:
DataPreparator (get spark dataframe with valid data types) - Splitters/Filters (split/crop dataframe) - Indexer (create indexers for train at first)
The text was updated successfully, but these errors were encountered: