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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-limitations.html
Text Handling Limitations MySQL HeatWave AutoML only supports datasets in the English language. MySQL HeatWave AutoML does not support TEXT columns with NULL values. MySQL HeatWave AutoML does not support target columns (a column with ground truth ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-explain.html
Running the ML_EXPLAIN routine on a model and dataset trains a prediction explainer and model explainer, and adds a model explanation to the model catalog. See Generate Model Explanations and Generate Prediction Explanations to learn more. MySQL ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-model-catalog-table.html
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 the model. The model handle is generated or set by the user when the ML_TRAIN ...
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-prediction-intervals.html
This feature specifies upper and lower bounds on predictions for forecasting based on level of confidence. For example, for a prediction interval of 0.95 with a lower bound of 25 units and an upper bound of 65 units, you are 95% confident that ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-data-split.html
As of MySQL 9.4.1, you can automatically create training and testing datasets with the TRAIN_TEST_SPLIT routine. Overview The TRAIN_TEST_SPLIT routine takes your datasets and prepares new tables for training and testing machine learning models. Two ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-train.html
After preparing the data for a regression model, you can train the model. Before You Begin Review and complete all the tasks to Prepare Data for a Regression Model. Train Model Train the model with the ML_TRAIN routine and use the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-topic-modeling-train.html
After preparing the data for topic modeling, you can train the model. Before You Begin Review and complete all the tasks to Prepare Data for Topic Modeling. Requirements for Topic Modeling Training Define the following required parameters for topic ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-training-a-forecasting-model.html
After preparing the data for a forecasting model, you can train the model. Before You Begin Requirements for Forecasting Training Forecasting Options Unsupported Routines Train Model What's Next Before You Begin Review and complete all the tasks to ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-training.html
Run the ML_TRAIN routine on a training dataset to produce a trained machine learning model. ML_TRAIN Overview ML_TRAIN supports training of the following models: Classification: Assign items to defined categories. Regression: Generate a prediction ...