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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-forecasting-model.html
To generate predictions, use the sample data from the electricity_demand_test dataset. Even though the table has labels for the demand target column, the column is not considered when generating predictions. This allows you to compare the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model-items-to-users.html
This topic describes how to generate recommended users for items. For known users and known items, the output includes a list of users that will most likely give a high rating to an item and will also predict the ratings or rankings. For a new ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model-ratings-rankings.html
This topic describes how to generate recommendations for either ratings (recommendation model with explicit feedback) or rankings (recommendation model with implicit feedback). If generating a rating, the output predicts the rating the user will ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model-similar-items.html
This topic describes how to generate recommendations for similar items. For known items, the output includes a list of predicted items that have similar ratings and are appreciated by similar users. The predictions are expressed in cosine ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model-similar-users.html
This topic describes how to generate recommendations for similar users. For known users, the output includes a list of predicted users that have similar behavior and taste. The predictions are expressed in cosine similarity, and range from 0, very ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model-users-to-items.html
This topic describes how to generate recommended items for users. For known users and known items, the output includes a list of items that the user will most likely give a high rating and the predicted rating or ranking. For a new user, and an ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-hw-chat.html
The HEATWAVE_CHAT routine automatically calls the ML_RAG routine which loads an LLM and runs a semantic search on the available vector stores by default. If the routine cannot find a vector store, then it calls the ML_GENERATE routine and uses ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-28-u2.html
Similarly, you can generate predictions with a single CALL or SELECT statement which can be easily integrated with your applications. MySQL HeatWave AutoML Functionality Added or Changed MySQL HeatWave AutoML MySQL HeatWave customers now have ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-2-0-u1.html
(WL #16011) Functionality Added or Changed MySQL HeatWave secondary engine now supports the QUALIFY clause to use with SELECT statements. MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave Lakehouse MySQL HeatWave Lakehouse now ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-3-0-u2.html
(WL #16023) MySQL HeatWave secondary engine now supports the TABLESAMPLE clause to use with SELECT statements. MySQL HeatWave AutoML MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave AutoML MySQL HeatWave AutoML adds prediction ...