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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-model-metadata.html
The total number of chunks that the model has been split into. The model_metadata column in the model catalog allows you to view detailed information on trained models. For example, you can view the algorithm used to train the model, the columns in ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-predict-table.html
Depending on your MySQL version, we recommend the following: Before MySQL 9.4.1, limit operations to batches of rows by splitting large tables into smaller tables by using the batch_size option. ML_PREDICT_TABLE generates predictions for an entire ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-train.html
The forecast models SARIMAXForecaster, VARMAXForecaster, and DynFactorForecaster cannot back test, that is forecast into training data, when using exogenous_variables. Run the ML_TRAIN routine on a training dataset to produce a trained machine ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-onnx-import-overview.html
You cannot directly load models in ONNX format (.onnx) into a MySQL table. The models require string serialization and conversion to Base64 encoding before you use the ML_MODEL_IMPORT routine. MySQL HeatWave AutoML supports the following ONNX model ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-onnx-metadata.html
To learn more about model metadata in the model catalog, see Model Metadata. ONNX Inputs Info Use the data_types_map to map the data type of each column to an ONNX model data type. For example, to convert inputs of the type tensor(float) to ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-progress-tracking.html
mysql> SELECT QEXEC_TEXT INTO @progress_json FROM performance_schema.rpd_query_stats WHERE QUERY_TEXT='ML_PREDICT_TABLE' ORDER BY QUERY_ID DESC limit 1; From the second MySQL Client session, query the completion percentage for the routine. You can ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-training-a-forecasting-model.html
The forecast models SARIMAXForecaster, VARMAXForecaster, and DynFactorForecaster cannot back test, that is forecast into training data, when using exogenous_variables. After preparing the data for a forecasting model, you can train the model.
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-ml-generate-table.html
A higher value of p introduces more randomness into the output. The ML_GENERATE_TABLE routine runs multiple text generation or summarization queries in a batch, in parallel. The output generated for every input query is the same as the output ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-26-u1.html
(WL #14513) MySQL HeatWave Data Management Layer Data loaded into MySQL HeatWave, including propagated changes, are now persisted to OCI Object Storage for recovery in case of a MySQL HeatWave node or cluster failure. MySQL HeatWave Network Layer ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-28-u1.html
Functionality Added or Changed MySQL HeatWave now supports up to 1017 columns for base relations (tables as loaded into MySQL HeatWave), and up to 1800 columns for intermediate relations (intermediate tables used during query processing). The ...