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[Discussion] Unique uses of recommendation systems?
Some of the features are categorical, such as request type (is it about troubleshoot, price request, etc.), product, language, SLA, etc.; and some are continuous, namely an embedding vector generated from the ticket free form text. Then we use this library that allows the training of a Naive Bayes model using mixed type of features (categorical and continuous).
Stats
Basic mixed-naive-bayes repo stats
1
63
2.5
about 1 year ago
remykarem/mixed-naive-bayes is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of mixed-naive-bayes is Python.
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