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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-genai-chat.html
You can use GenAI Chat to simulate human-like conversations where you can get responses for multiple queries in the same session. GenAI Chat is a conversational agent that utilizes large language models (LLMs) to understand inputs and responds in ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-privileges.html
mysql> GRANT SELECT, INSERT, CREATE, DROP, ALTER, UPDATE ON output_schema.* TO 'user_name'@'%'; For more information, see Privileges Provided by MySQL and Default MySQL Privileges.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-vector-store.html
Using the inbuilt vector store and retrieval-augmented generation (RAG), you can load and query unstructured documents stored in the local filesystem using natural language within the MySQL AI ecosystem. The sections in this topic describe how to ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-aiaml-error-messages.html
Each error message includes an error number, SQLSTATE value, and message string, as described in Error Message Sources and Elements. Error number: ML001016; SQLSTATE: HY000 Message: Only classification, regression, and forecasting tasks are ...
Displaying 1981 to 1990 of 1996 total results