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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/9.5/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/create-event.html
CREATE [DEFINER = user] EVENT [IF NOT EXISTS] event_name ON SCHEDULE schedule [ON COMPLETION [NOT] PRESERVE] [ENABLE | DISABLE | DISABLE ON {REPLICA | SLAVE}] [COMMENT 'string'] DO event_body; schedule: { AT timestamp [+ INTERVAL interval] ... The ...
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/9.5/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-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/mysql-ai/9.5/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-predictions-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of data specified in JSON format. The following example trains a dataset with the classification machine learning task. mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-predictions-ml-predict-row.html
ML_PREDICT_ROW generates predictions for one or more rows of data specified in JSON format. The following example trains a dataset with the classification machine learning task. mysql> CALL sys.ML_TRAIN('census_data.census_train', 'revenue', ...