Search Results
https://dev.mysql.com/doc/mysql-router/9.4/en/mysql-router-configuration-file-locations.html
MySQL Router scans for the default configuration files at startup, and optionally loads user-defined configuration files at runtime from the command line. You can alter the default locations at compile time by using the -DROUTER_CONFIGDIR=<path> ...
https://dev.mysql.com/doc/mysql-router/9.4/en/router-set-trace.html
MySQL Router supports tracing of statements as they are processed by MySQL Router from client to server and the response to the client. Configuration To configure ROUTER SET trace you must add the following to your MySQL Router configuration file: ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-anomaly-detection-logs.html
Anomaly detection for logs allows you to detect anomalies in log data. To perform anomaly detection on logs, log data is cleaned, segmented, and encoded before running anomaly detection. The input table can only have the following columns: The ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-classification-generate-prediction.html
To generate predictions, use the sample data from the testing_data dataset. Even though the table has labels for the Approved target column, the column is not considered when generating predictions. This allows you to compare the predictions to the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-classification-score.html
After generating predictions and explanations, you can score the model to assess its reliability. For a list of scoring metrics you can use with classification models, see Classification Metrics. For this use case, you use the test dataset for ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-forecasting-model-types.html
This topic describes the types of forecasting models supported by AutoML. Univariate Models In a univariate model, you define one numeric column as an endogenous variable, specified as a JSON_ARRAY. For example, you forecast the rainfall for the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-load-model.html
You must load a machine learning model from the model catalog before running AutoML routines other than ML_TRAIN. A model remains loaded and can be called repetitively by AutoML routines until it is unloaded using the ML_MODEL_UNLOAD routine, or ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-quality.html
ML_SCORE scores a model by generating predictions using the feature columns in a labeled dataset as input and comparing the predictions to ground truth values in the target column of the labeled dataset. You cannot score a model with a topic ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-models-delete.html
Users that create models or have the required privileges to a model on the MODEL_CATALOG table can delete them. Before You Begin Review how to Create a Machine Learning Model. Delete a Model To delete a model from the model catalog table: Query the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-monitoring.html
You can monitor the status of AutoML by querying the rapid_ml_status variable or by querying the ML_STATUS column of the performance_schema.rpd_nodes table. Query the rapid_ml_status Variable The rapid_ml_status variable provides the status of ...