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https://dev.mysql.com/doc/heatwave/en/mys-hw-rpd-table-id-table.html
The rpd_table_id table provides the ID, name, and schema of the tables loaded in MySQL HeatWave. The rpd_table_id table has these columns: ID A unique identifier for the table. The column contains the query used to create the MySQL HeatWave ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-vector-functions.html
It accepts the following arguments: A column of VECTOR data type.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-classification-score.html
After generating predictions and explanations, you can score the model to assess its reliability. For a list of scoring metrics you can use with classification models, see Classification Metrics. For this use case, you use the test dataset for ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-lakehouse.html
If you have external data that you want to use with MySQL HeatWave AutoML, you can load it directly from Object Storage with Lakehouse. MySQL HeatWave AutoML and Lakehouse Overview For MySQL HeatWave on OCI, you have three options to access ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-predictions-ml-predict-table.html
The following example queries the top five rows of the output table. ML_PREDICT_TABLE generates predictions for an entire table of trained data. Depending on your MySQL version, we recommend the following: Before MySQL 9.4.1, limit operations to ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-regression-score.html
After generating predictions and explanations, you can score the model to assess its reliability. For a list of scoring metrics you can use with regression models, see Regression Metrics. For this use case, you use the test dataset for validation.
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-scoring-an-anomaly-detection-model.html
After generating predictions, you can score the model to assess its reliability. For a list of scoring metrics you can use with anomaly detection models, see Anomaly Detection Metrics. For this use case, you use the test dataset for validation. In ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-topic-modeling-prediction.html
After training the model, you can run topic modeling on the trained text. To run topic modeling, use the sample data from the movies dataset. When the output table generates, you can review the generated word groups and expressions for the trained ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-training.html
Run the ML_TRAIN routine on a training dataset to produce a trained machine learning model. ML_TRAIN Overview ML_TRAIN supports training of the following models: Classification: Assign items to defined categories. Regression: Generate a prediction ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-ml-embed-row.html
The ML_EMBED_ROW routine uses the specified embedding model to encode the specified text or query into a vector embedding. The routine returns a VECTOR that contains a numerical representation of the specified text. This topic contains the ...