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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
MySQL HeatWave AutoML Functionality Added or Changed MySQL HeatWave AutoML MySQL HeatWave customers now have access to MySQL HeatWave AutoML, which is a fully managed, highly scalable, cost-efficient, machine learning solution for data stored in ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-2-0-u1.html
MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave Lakehouse MySQL HeatWave Lakehouse now uses Auto Parallel Load to load Avro files. (WL #15778) MySQL HeatWave Lakehouse schema inference now includes support for unicode column ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-3-0-u2.html
MySQL HeatWave AutoML MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave AutoML MySQL HeatWave AutoML adds prediction intervals to the forecasting task. (WL #16072) MySQL HeatWave AutoML adds the PCA and GLOF algorithms to the ...