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https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-anomaly-detection-models.html
It can identify common anomaly types, such as local, global, and clustered anomalies, and can achieve an AUC score that is similar to, or better than, when identifying the following: Global anomalies compared to KNN, with an optimal k hyperparameter ... You can use the following anomaly detection model types: GkNN (Generalized kth Nearest Neighbors) PCA (Principal Component Analysis) GLOF (Generalized Local Outlier Factor) GkNN Model Generalized kth Nearest Neighbors (GkNN) is an algorithm model developed at ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-genai-chat-details.html
You provide the data, and HeatWave AutoML analyzes the characteristics of the data and creates an optimized machine learning model that you can use to generate predictions and explanations. You provide the data, and HeatWave AutoML analyzes the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-genai-run-chat.html
**Hyperparameter Tuning**: The platform automatically tunes hyperparameters for the selected model, ensuring optimal performance and minimizing overfitting. **Improved Model Performance**: HeatWave's automated process ensures that models are ...
https://dev.mysql.com/doc/connectors/en/connector-j-connp-props-performance-extensions.html
Also notice that for prepared statements, if the stream length is not specified when using 'PreparedStatement.set*Stream()', the driver would not be able to determine the optimum number of parameters per batch and might return an error saying that ... callableStmtCacheSize If 'cacheCallableStmts' is enabled, how many callable statements should be cached? Default Value 100 Since Version 3.1.2 metadataCacheSize The number of queries to cache 'ResultSetMetadata' for if 'cacheResultSetMetaData' is set to ...
https://dev.mysql.com/doc/connectors/en/connector-j-usagenotes-j2ee-concepts-connection-pooling.html
The optimal size for the connection pool depends on anticipated load and average database transaction time. In practice, the optimal connection pool size can be smaller than you might expect. Connection pooling is a technique of creating and ...
https://dev.mysql.com/doc/connectors/en/connector-python-asyncio.html
The optimal number of jobs is problem-dependent, and is a value determined with experience. Is it worth the effort? It depends on the goal as asynchronous code better optimizes performance, such as CPU usage, whereas writing standard synchronous ...
https://dev.mysql.com/doc/connectors/en/connector-python-coding.html
Because MySQL often deals with data sets that are many times larger than available memory, techniques that optimize storage space and disk I/O are especially important. The following guidelines cover aspects of developing MySQL applications that ...
https://dev.mysql.com/doc/connector-python/en/connector-python-asyncio.html
The optimal number of jobs is problem-dependent, and is a value determined with experience. Is it worth the effort? It depends on the goal as asynchronous code better optimizes performance, such as CPU usage, whereas writing standard synchronous ...
https://dev.mysql.com/doc/connector-python/en/connector-python-coding.html
Because MySQL often deals with data sets that are many times larger than available memory, techniques that optimize storage space and disk I/O are especially important. The following guidelines cover aspects of developing MySQL applications that ...
https://dev.mysql.com/doc/internals/en/files-in-innodb-sources.html
The InnoDB source files are the best place to look for information about internals of the file structure that MySQLers can optionally use for transaction support. But when you first look at all the subdirectories and file names you'll wonder: Where ...