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https://dev.mysql.com/doc/mysql-ai/9.5/en/myai-installation.html
This chapter describes how to install MySQL AI. ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/myai-load-unload-data.html
The sections in this chapter describe how to load data in MySQL AI.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-anomaly-detection-model-types.html
The AutoML feature of MySQL AI provides two types of learning for anomaly detection models: unsupervised and semi-supervised. Unsupervised Anomaly Detection When running an unsupervised anomaly detection model, the machine learning algorithm ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-anomaly-detection.html
Anomaly detection, which is also known as outlier detection, is the machine learning task that finds unusual patterns in data. The following tasks use datasets generated by OCI GenAI using Meta Llama Models. The anomaly detection use-cases are to ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-automl-privileges.html
To use AutoML, ask the admin user to grant you the following privileges. Replace user_name and database_name in the commands with the appropriate user name and database name. Database Privileges You need the following privileges to access the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-automl.html
The AutoML ML_TRAIN routine leverages Oracle AutoML technology to automate the process of training a machine learning model. Oracle AutoML replaces the laborious and time consuming tasks of the data analyst, whose workflow is as follows: Selecting ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-classification.html
Classification models predict the discrete value of input data to specific predefined categories. Some examples of classification include loan approvals, churn prediction, and spam detection. The following tasks use a dataset generated by OCI GenAI ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-data-drift-detection.html
MySQL AI includes data drift detection for classification and regression models. Before You Begin Review how to Create a Machine Learning Model. Data Drift Detection Overview Machine learning typically makes an assumption that the training data and ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-ease-of-use.html
The AutoML feature of MySQL AI is purpose-built for ease of use. With AutoML and a set of training data, you can train a predictive machine learning model with a single call to the ML_TRAIN SQL routine. For example: CALL ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-features.html
The AutoML feature of MySQL AI makes it easy to use machine learning (ML), whether you are a novice user or an experienced ML practitioner. You provide the data, and AutoML analyzes the characteristics of the data and creates an optimized machine ...