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https://dev.mysql.com/doc/mysql-ai/9.5/en/index.html
It covers how to load data, run queries, optimize analytics workloads, and use machine learning and generative AI capabilities. For help with using MySQL, please visit the MySQL Forums, where you can discuss your issues with other MySQL users.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-anomaly-detection-logs.html
Anomaly detection for logs allows you to detect anomalies in log data. To perform anomaly detection on logs, log data is cleaned, segmented, and encoded before running anomaly detection. The input table can only have the following columns: The ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-automl-workflow.html
A typical AutoML workflow is described below: When you run the ML_TRAIN routine, AutoML retrieves the data to use for training. The training data is then distributed across the cluster, which performs machine learning computation in parallel.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-classification-train.html
After preparing the data for a classification model, you can train the model. Before You Begin Review and complete all the tasks to Prepare Data for a Classification Model. Training the Model Train the model with the ML_TRAIN routine and use the ...
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-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-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-prepare-an-anomaly-detection-model.html
This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly detection model for logs. To prepare the data for this use case, you set ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-prepare-data-split.html
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 new tables in the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-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. Training the Model Train the model with the ML_TRAIN routine and use the ...