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https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-using-a-recommendation-model-similar-users.html
This topic describes how to generate recommendations for similar users. For known users, the output includes a list of predicted users that have similar behavior and taste. The predictions are expressed in cosine similarity, and range from 0, very ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-using-a-recommendation-model.html
NULL values for any row in the users or items columns generates an error. To generate predictions, use the sample data from the testing_dataset dataset. Before You Begin Complete the following tasks: Prepare Data for a Recommendation Model Train a ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-bulk-load-limitations.html
If you attempt to load a table without at least one column with the VECTOR data type, an error occurs. LOAD DATA with ALGORITHM=BULK supports tables with at least one column with the VECTOR data type. LOAD DATA with ALGORITHM=BULK has the following ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-bulk-load-mysql-server.html
If you attempt to load a table without at least one column with the VECTOR data type, an error occurs. MySQL includes a bulk load extension to the LOAD DATA statement. It can do the following: Optimize the loading of data sorted by primary key.
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-vector-store-overview.html
However, if there are minor character recognition errors, the overall meaning of the text is still preserved. This section describes the Vector Store functionality available with GenAI. About Vector Store A vector store is a relational database ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-hw-genai-troubleshoot.html
This section describes some commonly encountered issues and errors for GenAI and their workarounds. The folder you are trying to load might contain unsupported format files or the file that you are trying to load might be of an unsupported format.
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-embed-table.html
ML_EMBED_TABLE Syntax mysql> CALL sys.ML_EMBED_TABLE('InputTableColumn', 'OutputTableColumn'[, options]); options: JSON_OBJECT(keyvalue[, keyvalue] ...) keyvalue: { 'model_id', {'ModelID'} |'truncate', {true|false} |'batch_size', BatchSize ... The ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-explain-row.html
The ML_EXPLAIN_ROW routine generates explanations for one or more rows of unlabeled data. A loaded and trained model with the appropriate prediction explainer is required to run ML_EXPLAIN_ROW. ML_EXPLAIN_ROW does not support recommendation, ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-explain-table.html
ML_EXPLAIN_TABLE explains predictions for an entire table of unlabeled data. We recommend limiting the input table to a maximum of 100 rows. If the input table has more than ten columns, limit it to ten rows. A call to ML_EXPLAIN_TABLE can include ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-explain.html
Running the ML_EXPLAIN routine on a model and dataset trains a prediction explainer and model explainer, and adds a model explanation to the model catalog. See Generate Model Explanations and Generate Prediction Explanations to learn more.
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