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https://dev.mysql.com/doc/mysql-shell/9.7/en/mysql-innodb-cluster-auto-increment.html
When you are using an instance as part of an InnoDB Cluster, the auto_increment_increment and auto_increment_offset variables are configured to avoid the possibility of auto increment collisions for multi-primary clusters up to a size of 9 (the ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-explainers.html
After the ML_TRAIN routine, use the ML_EXPLAIN routine to train model explainers for AutoML. By default, the ML_TRAIN routine trains the Permutation Importance model explainer. Feature importance is presented as a value ranging from -1 to 1. A ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-onnx-import-overview.html
None or string indicate a variable batch size, and an integer indicates a fixed batch size. You cannot directly load models in ONNX format (.onnx) into a MySQL table. The models require string serialization and conversion to Base64 encoding before ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-regression-explanations.html
You can use the session variable for the model that is valid for the duration of the connection. After training a regression model, you can query the default model explanation or query new model explanations. Explanations help you understand which ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-regression.html
Machine learning regression models generate predictions based on the relationship between a dependent variable and one or more independent variables. Some examples of regression analysis include predicting sales during different seasons, predicting ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-embed-row.html
The ML_EMBED_ROW routine uses the specified embedding model to encode the specified text or query into a vector embedding. The routine returns a VECTOR that contains a numerical representation of the specified text. This topic contains the ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-explain-table.html
model_handle: Specifies the model handle or a session variable containing the model handle. The ML_EXPLAIN_TABLE call specifies the fully qualified name of the table to generate explanations for, the session variable containing the model handle, and ... ML_EXPLAIN_TABLE explains predictions for an entire table of unlabeled ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-model-load.html
model_handle: Specifies the model handle or a session variable containing the model handle. mysql> CALL sys.ML_MODEL_LOAD('ml_data.iris_train_user1_1636729526', NULL); An example that specifies a session variable containing the model handle. The ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-retrieve-schema-metadata.html
Retrieves the most relevant tables to a given natural-language statement and ranks them in the order of their relevance. The output generated by the routine can be used to enhance large language model (LLM) prompts, NL_SQL workflows, and ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-nl-sql.html
The routine also runs the generated SQL statement and displays the result set. You can use this routine for generating and running SQL queries only for databases and tables that you have access to. The routine automatically detects these errors, and ...