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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-quality.html
ML_SCORE scores a model by generating predictions using the feature columns in a labeled dataset as input and comparing the predictions to ground truth values in the target column of the labeled dataset. You cannot score a model with a topic ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-sharing.html
This topic describes how to grant other users access to a model you create. Before You Begin Share Your Models Export the Model to Share Set Up Other User with Required Privileges Importing Shared Model Run AutoML Routines on Imported Model What's ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-model-viewing.html
To view the details for the models in your model catalog, query the MODEL_CATALOG table. Before You Begin Review the following: Create a Machine Learning Model The Model Catalog View Details for Your Models The following example queries model_id, ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-models-delete.html
Users that create models or have the required privileges to a model on the MODEL_CATALOG table can delete them. Before You Begin Review how to Create a Machine Learning Model. Delete a Model To delete a model from the model catalog table: Query the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-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. AutoML supports the following ONNX model types: An ONNX ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-onnx-import.html
AutoML supports the upload of pre-trained models in ONNX (Open Neural Network Exchange) format to the model catalog.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-prediction-intervals.html
Prediction intervals for forecasting models specify 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, ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-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', ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-predictions-ml-predict-table.html
ML_PREDICT_TABLE generates predictions for an entire table of trained data. If ML_PREDICT_TABLE takes a long time to complete, manually limit input tables to a maximum of 1,000 rows. Some of these columns include: Prediction ml_results The input ...