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https://dev.mysql.com/doc/c-api/9.7/en/mysql-stmt-bind-named-param.html
To store both named and unnamed bind user variables, call mysql_stmt_bind_named_param() after mysql_stmt_prepare(). bool mysql_stmt_bind_named_param(MYSQL_STMT *stmt, MYSQL_BIND *binds, unsigned n_params, const char **names) Description ...
https://dev.mysql.com/doc/extending-mysql/9.7/en/plugin-api-characteristics.html
Although some aspects of the plugin API are common to all types of plugins, the API also permits type-specific interface elements so that different types of plugins can be created. The server plugin API has these characteristics: All plugins have ...
https://dev.mysql.com/doc/extending-mysql/9.7/en/plugin-status-system-variables.html
For convenience, a number of macros are defined that make creating new system variables within a plugin much simpler. The server plugin interface enables plugins to expose status and system variables using the status_vars and system_vars members of ...
https://dev.mysql.com/doc/extending-mysql/9.7/en/server-plugin-descriptors.html
This is the value that identifies the plugin as being legal for use in a WITH PARSER clause when creating a FULLTEXT index. Every plugin library that contains server plugins must include a library descriptor that contains the general plugin ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-automl-workflow.html
Predictions and explanations are returned to the user or application that issued the query. What's Next Learn more about the following: AutoML Learning Types AutoML Ease of Use Oracle AutoML Learn how to Create a Machine Learning Model. A typical ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-classification-generate-prediction.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 testing_data dataset. Even though the table has ...
https://dev.mysql.com/doc/mysql-ai/9.7/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/9.7/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/9.7/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/9.7/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 ...