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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-score.html
After generating predictions and explanations, you can score the model to assess its reliability. For a list of scoring metrics you can use with regression models, see Regression Metrics. For this use case, you use the test dataset for validation.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-scoring-a-forecasting-model.html
After generating predictions, you can score the model to assess its reliability. For a list of scoring metrics you can use with forecasting models, see Forecasting Metrics. For this use case, you use the test dataset for validation. In a real-world ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-scoring-a-recommendation-model.html
After generating predicted ratings/rankings and recommendations, you can score the model to assess its reliability. For a list of scoring metrics you can use with recommendation models, see Recommendation Model Metrics. For this use case, you use ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-unload-model.html
The ML_MODEL_UNLOAD routine unloads a model from MySQL HeatWave AutoML. Before You Begin Review the following Train a Model Load a Model Unload a Model If you are on MySQL 9.0.0 or higher, you can verify what models are currently loaded with 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-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-routines.html
Some of the MySQL HeatWave GenAI routines reside in the MySQL sys schema. MySQL JavaScript Stored Programs include a GenAI API that you can use to call different MySQL HeatWave GenAI routines using JavaScript functions.
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-26-u2.html
Functionality Added or Changed The following function support was added: YEARWEEK(date), YEARWEEK(date,mode) The mode argument for the two-argument form of the WEEK() function: WEEK(date[,mode]) MAKEDATE() “Zero” handling for dates such as ...