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https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-classification-score.html
For the option to set the user name, you can set it to NULL. The following example runs ML_SCORE on the testing dataset previously created. After generating predictions and explanations, you can score the model to assess its reliability. For a list ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-features.html
The AutoML feature of MySQL AI makes it easy to use machine learning (ML), whether you are a novice user or an experienced ML practitioner. You provide the data, and AutoML analyzes the characteristics of the data and creates an optimized machine ...An ML model makes predictions by identifying patterns in your data and applying those patterns to unseen ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-regression-predictions.html
For the option to set the user name, you can set it to NULL. The following example runs ML_PREDICT_TABLE on the testing dataset previously created. To generate predictions, use the sample data from the house_price_testing dataset. Even though the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-scoring-a-forecasting-model.html
For the option to set the user name, you can set it to NULL. The following example runs ML_SCORE on the testing dataset previously created. After generating predictions, you can score the model to assess its reliability. For a list of scoring ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-topic-modeling-prediction.html
For the option to set the user name, you can set it to NULL. After training the model, you can run topic modeling on the trained text. To run topic modeling, use the sample data from the movies dataset. When the output table generates, you can ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-using-a-forecasting-model.html
For the option to set the user name, you can set it to NULL. The following example runs ML_PREDICT_TABLE on the testing dataset previously created. To generate predictions, use the sample data from the electricity_demand_test dataset. Even though ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-mysqlai-chat.html
The routine uses vector store tables and embedding tables created using the same embedding model for context retrieval. Syntax for each object in the chat_history array is as follows: JSON_OBJECT('key','value'[,'key','value'] ...) 'key','value': { ... 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 ...
https://dev.mysql.com/doc/workbench/en/wb-relationship-tools.html
Typically this occurs where an intermediary table is created to resolve a many-to-many relationship. A non-identifying relationship: identified by a broken (dashed) line between tables Create or drag and drop the tables that you wish to connect. In ...
https://dev.mysql.com/doc/connectors/en/connector-j-usagenotes-last-insert-id.html
getGeneratedKeys() is the preferred method to use if you need to retrieve AUTO_INCREMENT keys and through JDBC; this is illustrated in the first example below. The second example shows how you can retrieve the same value using a standard SELECT ...
https://dev.mysql.com/doc/connectors/en/connector-net-tutorials-efmodel-ddl.html
This tutorial demonstrates how to create MySQL DDL from an Entity Framework model. In the Generate Database Wizard dialog select an existing connection, or create a new connection to a server. You have seen how to create MySQL DDL code from an ...