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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-train.html
If you do not define the model handle before training the model, the model handle is automatically generated, and the session variable only stores the model handle for the duration of the connection. After preparing the data for a classification ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-data-drift-detection.html
@census_model is the name of the user-defined session variable that stores the model handle for the duration of the connection. MySQL HeatWave AutoML includes data drift detection for the following models: Classification Regression Anomaly ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ease-of-use.html
MySQL HeatWave AutoML routines reside in the MySQL sys schema and can be run from any MySQL client or application that is connected to a DB System with a MySQL HeatWave Cluster. With MySQL HeatWave AutoML and a set of training data in a MySQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-train.html
model_handle: A user-defined session variable that stores the machine learning model handle for the duration of the connection. Run the ML_TRAIN routine on a training dataset to produce a trained machine learning model. MySQL 9.0.0 introduces ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-a-forecasting-model.html
Prepare Data To prepare the data for the forecasting model: Connect to your MySQL HeatWave Database System. This topic describes how to prepare the data to use for a forecasting machine learning model. To prepare the data for this use case, you set ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-preparing-a-recommendation-model.html
Prepare Data To prepare the data for the recommendation model: Connect to your MySQL HeatWave Database System. This topic describes how to prepare the data to use for a recommendation machine learning model using explicit feedback. To prepare the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-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/heatwave/en/mys-hwaml-regression-predictions.html
You can use the session variable for the model that is valid for the duration of the connection. To generate predictions, use the sample data from the house_price_testing dataset. Even though the table has labels for the price target column, the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-prepare.html
Prepare Data To prepare the data for the regression model: Connect to your MySQL HeatWave Database System. This topic describes how to prepare the data to use for a regression machine learning model. The regression use-case is to predict house ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-score.html
You can use the session variable for the model that is valid for the duration of the connection. After generating predictions and explanations, you can score the model to assess its reliability. For a list of scoring metrics you can use with ...