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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-limitations.html
Text Handling Limitations 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 values) with a ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-ml-model-metadata.html
The model_metadata column in the model catalog allows you to view detailed information on trained models. For example, you can view the algorithm used to train the model, the columns in the training table, and values for the model explanation. When ...
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-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-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 Training the Model What's Next Before You Begin Review and complete all the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-overview.html
The GenAI feature of MySQL AI lets you communicate with unstructured data using natural-language queries. It uses a familiar SQL interface which makes it is easy to use for content generation, summarization, and retrieval-augmented generation (RAG). Using GenAI, you can perform natural-language searches in a single step using either in-database or external large language models ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-requirements.html
To use the GenAI feature of MySQL AI, you must place the files that you want to ingest into the vector store in the local directory that you specified in the Vector Store tab in the MySQL AI installer. Vector store can ingest files in the following ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-nl-sql.html
GenAI lets you generate SQL queries from natural-language statements, making it easier for you to interact with your databases. This feature collects information on the schemas, tables, and columns that you have access to, and then uses a Large ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-generate.html
The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content as a response for the given natural-language query. It can include the following parameters: task: specifies the task expected from the LLM.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-train.html
Run the ML_TRAIN routine on a training dataset to produce a trained machine learning model. Before training models, make sure to review the following: Additional AutoML Requirements Supported Data Types for AutoML Train a Model Machine Learning Use ...
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