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https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-overview.html
Some key benefits of using MySQL HeatWave GenAI are described below: The natural-language processing (NLP) capabilities of the LLMs let non-technical users have human-like conversations with the system in natural language. MySQL HeatWave GenAI is a ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-limitations-delta.html
For partitioned tables, loading columns that are part of the partitioning key is not supported. MySQL HeatWave Lakehouse has the following limitations for delta lake tables. Support for delta lake tables is restricted to delta tables with features ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-restrictions-change-propagation.html
Cascading changes triggered by a foreign key constraint. ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-run-query.html
row *************************** id: 1 select_type: NONE table: NULL partitions: NULL type: NULL possible_keys: NULL key: NULL key_len: NULL ref: NULL rows: NULL filtered: NULL Extra: Using secondary engine RAPID. This topic describes how to use the ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-silos.html
One of the key advantages of MySQL HeatWave AutoML is that your data and models remain within the secure MySQL HeatWave environment, saving you time and effort. Figure 1.3 MySQL HeatWave Features MySQL HeatWave MySQL HeatWave is ideal for data ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-using-views.html
row *************************** id: 1 select_type: NONE table: NULL partitions: NULL type: NULL possible_keys: NULL key: NULL key_len: NULL ref: NULL rows: NULL filtered: NULL Extra: Using secondary engine RAPID. This topic describes how to run ...
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/heatwave/en/mys-hwaml-learn-with-genai.html
Available as of MySQL 9.4.0, the NL2ML routine enables you to learn about MySQL HeatWave AutoML by leveraging Oracle Cloud Infrastructure Generative AI (OCI) and asking questions in natural language. Before You Begin Overview Use Oracle Cloud ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-onnx-import-overview.html
The prediction column must contain a JSON object literal of name value keys. 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 ...
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', ...