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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-train.html
ML_TRAIN will consider all supported models during the algorithm selection stage if options includes exogenous_variables, including models that do not support exogenous_variables. Run the ML_TRAIN routine on a training dataset to produce a trained ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-model-catalog-table.html
model_type The type of model (algorithm) selected by ML_TRAIN to build the model. The MODEL_CATALOG table (ML_SCHEMA_user_name.MODEL_CATALOG) has the following columns: model_id A primary key, and a unique auto-incrementing numeric identifier for ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-supervised-learning.html
This type of machine learning algorithm uses a specific set of labeled data along with unlabeled data to detect anomalies. MySQL HeatWave AutoML supports the following types of machine learning: supervised, unsupervised, and semi-supervised.
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-ml-generate.html
Machine learning algorithms can analyze vast amounts of data and identify patterns, making them increasingly accurate at predicting outcomes and making decisions.\n\nAI is already being used in a variety of industries, including healthcare, finance, ... The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content as a response for the given natural-language ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-26-u1.html
For optimal performance, window functions in MySQL HeatWave utilize a massively parallel, partitioning-based algorithm. MySQL HeatWave Network Layer MySQL HeatWave Data Management Layer Functionality Added or Changed MySQL HeatWave Network Layer ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-2-0-u1.html
(WL #15864) Auto Data Compression dynamically determines which compression algorithm to use for each column based on its data characteristics. MySQL HeatWave Lakehouse Functionality Added or Changed MySQL HeatWave Lakehouse MySQL HeatWave Lakehouse ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-0-1-u1.html
This type of machine learning algorithm uses a specific set of labeled data along with unlabeled data to detect anomalies. (WL #16365) MySQL HeatWave now supports the following JSON functions: JSON_INSERT() JSON_REMOVE() JSON_REPLACE() JSON_SET() ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-hwaml-evaluate-model.html
The lower pane shows details for the model including Training table, Target column, Description, Selected algorithm, Machine learning task, and Training score. Evaluate a MySQL HeatWave AutoML model 13.3 Evaluate a MySQL HeatWave AutoML model ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-relnotes.html
To use the bulk ingest feature, first connect to the DB system, and then import data in an existing or new table using the BULK algorithm. Release Notes 23 Release Notes Release notes for MySQL HeatWave on AWS 2025-08-26: Data Storage Size Can Now ...
https://dev.mysql.com/doc/connector-j/en/connector-j-connp-props-high-availability-and-clustering.html
Default Value 0 Since Version 5.1.6 ha.loadBalanceStrategy If using a load-balanced connection to connect to SQL servers in a MySQL Cluster configuration (by using the URL prefix "jdbc:mysql:loadbalance://"), which load balancing algorithm should ...