Search Results
https://dev.mysql.com/doc/heatwave/en/mys-hw-async-task-logs.html
If the value is NULL, all the log entries for a given task ID are displayed. The task_logs routine returns a list of logs associated with a task. This topic contains the following sections: Syntax Syntax Example See Also Syntax mysql> SELECT ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-defining-secondary-engine.html
Defining Secondary Engine For each table that you want to load into MySQL HeatWave Cluster, you must define the MySQL HeatWave query processing engine (RAPID) as the secondary engine for the table. Then, the MySQL HeatWave query processing engine ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-byo-embedding-tables.html
HeatWave AutoML explanations help you understand how predictions are made,", "error": null, "citations": [ { "segment": "| HeatWave AutoML is a feature of MySQL HeatWave that makes it easy to use machine learning, whether you are a novice user or an ... As of MySQL 9.2.1, MySQL HeatWave GenAI lets you use tables containing your own vector embedding to run retrieval-augemented generation (RAG) with vector ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-generate-content.html
MySQL offers high performance, reliability, and scalability, making it a popular choice for developers worldwide.\n\n[DONE]", "error": null} *************************** 2. It's a rapidly evolving field with applications in various sectors including ... The following sections in this topic describe how to generate new text-based content using MySQL HeatWave GenAI: Before You Begin Generate Content Run Batch Queries What's Next Before You Begin Review the MySQL HeatWave GenAI requirements and ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-summarize-content.html
It uses a client-server architecture, supports stored procedures, a wide range of data types, encryption, and can handle large amounts of data by scaling horizontally or vertically.", "error": null} *************************** 2. AI has various ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-create-table-auto-parallel-load-task.html
mysql> CALL sys.HEATWAVE_LOAD( '[{"db_name": "db_1", "tables": [{ "table_name": "table_1", "engine_attribute": { "file": [{"uri": "oci://bucket_1@tenant_1/data_file_1.csv"}] } }] }]', NULL); While you can specify all parameters in one command, it ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-lakehouse-export-query-results-csv-json.html
This topic shows the different ways to export query results as a CSV file with JSON syntax. INTO OUTFILE WITH PARAMETERS 'file_URI_JSON "file": begin-array ("uri": "OCIFS_URI") | ("uri": "PAR_URI") | ("uri": "NATIVE_URI"), [, "dialect": ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-anomaly-detection-model-types.html
When training the model, the target_column_name parameter must be set to NULL. The target_column_name parameter must specify a column whose only allowed values are 0 (normal), 1 (anomalous), and NULL (unlabeled). All rows are used to train the ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-generate-explanation.html
For the option to set the user name, you can set it to NULL. mysql> CALL sys.ML_MODEL_LOAD(@model, NULL); The following example uses the model handle. mysql> CALL sys.ML_MODEL_LOAD('classification_use_case', NULL); Use the ML_EXPLAIN_TABLE routine ... After training a classification model, you can query the default model explanation or query new model ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-score.html
mysql> CALL sys.ML_SCORE('census_data.census_train', 'revenue', 'census_data.census_train_admin_1745439945171', 'balanced_accuracy', @score, NULL); Query OK, 0 rows affected (3.0536 sec) mysql> SELECT @score; +--------------------+ | @score | ...