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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. In a real-world use case, you should use a separate validation dataset that has the target column and ground truth values for the scoring validation.
https://dev.mysql.com/doc/refman/8.4/en/clone-plugin-monitoring.html
statement/clone/local: Tracks clone statement events for local clone operations; generated when executing a CLONE LOCAL statement. statement/clone/client: Tracks remote cloning statement events that occur on the recipient MySQL server instance; ...
https://dev.mysql.com/doc/refman/8.4/en/replication-delayed.html
The replication_applier_configuration Performance Schema table contains the DESIRED_DELAY column which shows the delay configured using the SOURCE_DELAY option. The replication_applier_status Performance Schema table contains the REMAINING_DELAY ...
https://dev.mysql.com/doc/c-api/8.4/en/mysql-stmt-insert-id.html
uint64_t mysql_stmt_insert_id(MYSQL_STMT *stmt) Description Returns the value generated for an AUTO_INCREMENT column by the prepared INSERT or UPDATE statement. Return Values Value for AUTO_INCREMENT column which was automatically generated or ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-classification-overview.html
It has the same columns as the training dataset, but the target column, Approved, is not considered when generating predictions or explanations. This topic describes how to prepare the data to use for a classification machine learning model. The ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-classification-score.html
After generating predictions and explanations, you can score the model to assess its reliability. In a real-world use case, you should use a separate validation dataset that has the target column and ground truth values for the scoring validation.
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-prepare-a-forecasting-model.html
It has the same columns as the training dataset, but the target column, demand, is not considered when generating predictions. mysql> CREATE TABLE electricity_demand_train AS SELECT * FROM electricity_demand WHERE date < '2025-01-01'; Create the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-regression-prepare.html
It has the same columns as the training dataset, but the target column, price, is not considered when generating predictions or explanations. This topic describes how to prepare the data to use for a regression machine learning model. The ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-regression-score.html
After generating predictions and explanations, you can score the model to assess its reliability. In a real-world use case, you should use a separate validation dataset that has the target column and ground truth values for the scoring validation.
https://dev.mysql.com/doc/connectors/en/connector-j-usagenotes-troubleshooting.html
If you have to use a floating point column in your primary key, use DOUBLE or DECIMAL types in place of FLOAT. The second reason for the generation of exceptions is that transaction-scoped contextual data may be vulnerable, for example: Temporary ...