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https://dev.mysql.com/doc/refman/8.4/en/date-and-time-functions.html
This section describes the functions that can be used to manipulate temporal values. See Section 13.2, “Date and Time Data Types”, for a description of the range of values each date and time type has and the valid formats in which values may be ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of unlabeled data specified in JSON format. A call to ML_PREDICT_ROW can include columns that were not present during ML_TRAIN. A table can include extra columns, and still use the MySQL ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-mysqlai-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of unlabeled data specified in JSON format. A call to ML_PREDICT_ROW can include columns that were not present during ML_TRAIN. A table can include extra columns, and still use the AutoML ...
https://dev.mysql.com/doc/refman/8.4/en/expressions.html
This section lists the grammar rules that expressions must follow in MySQL and provides additional information about the types of terms that may appear in expressions. Expression Syntax Expression Term Notes Temporal Intervals Expression Syntax The ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-explain-row.html
The ML_EXPLAIN_ROW routine generates explanations for one or more rows of unlabeled data. A loaded and trained model with the appropriate prediction explainer is required to run ML_EXPLAIN_ROW. ML_EXPLAIN_ROW does not support recommendation, ...
https://dev.mysql.com/doc/refman/8.4/en/user-resources.html
One means of restricting client use of MySQL server resources is to set the global max_user_connections system variable to a nonzero value. This limits the number of simultaneous connections that can be made by any given account, but places no ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-mysqlai-ml-explain-row.html
The ML_EXPLAIN_ROW routine generates explanations for one or more rows of unlabeled data. A loaded and trained model with the appropriate prediction explainer is required to run ML_EXPLAIN_ROW. ML_EXPLAIN_ROW does not support recommendation, ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-data-drift-detection.html
MySQL HeatWave AutoML includes data drift detection for the following models: Classification Regression Anomaly detection (as of MySQL 9.3.2) Before You Begin Review how to Create a Machine Learning Model. Data Drift Detection Overview Machine ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-data-drift-detection.html
MySQL AI includes data drift detection for classification and regression models. Before You Begin Review how to Create a Machine Learning Model. Data Drift Detection Overview Machine learning typically makes an assumption that the training data and ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-explanations-ml-explain-table.html
ML_EXPLAIN_TABLE explains predictions for an entire table of unlabeled data. Depending on your MySQL version, we recommend the following: Before MySQL 9.4.1, use the batch_size option to limit operations to batches of 10 to 100 rows by splitting ...