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https://dev.mysql.com/doc/mysql-ai/9.5/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/9.5/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/9.5/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/9.5/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/9.5/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/connectors/en/connector-net-connections-pooling.html
See Section 4.4.1, “Creating a Connector/NET Connection String” for further information. Subsequently, if a new MySqlConnection object is opened, it is created from the connection pool, rather than creating a new native connection. Do not create ... The MySQL Connector/NET supports connection pooling for better performance and scalability with database-intensive ...
https://dev.mysql.com/doc/connectors/en/connector-odbc-examples-programming-net.html
5.6.7.2.1 Using Connector/ODBC with ODBC.NET and C# (C sharp) The following sample creates a table my_odbc_net and demonstrates its use in C#. This section contains simple examples that demonstrate the use of Connector/ODBC drivers with ODBC.NET.
https://dev.mysql.com/doc/connectors/en/connector-python-api-mysqlcursor.html
To create a cursor, use the cursor() method of a connection object: import mysql.connector cnx = mysql.connector.connect(database='world') cursor = cnx.cursor() Several related classes inherit from MySQLCursor. To create a cursor of one of these ...
https://dev.mysql.com/doc/connector-net/en/connector-net-connections-pooling.html
See Section 4.1, “Creating a Connector/NET Connection String” for further information. Subsequently, if a new MySqlConnection object is opened, it is created from the connection pool, rather than creating a new native connection. Do not create a ... The MySQL Connector/NET supports connection pooling for better performance and scalability with database-intensive ...
https://dev.mysql.com/doc/connector-python/en/connector-python-api-mysqlcursor.html
To create a cursor, use the cursor() method of a connection object: import mysql.connector cnx = mysql.connector.connect(database='world') cursor = cnx.cursor() Several related classes inherit from MySQLCursor. To create a cursor of one of these ...