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https://dev.mysql.com/doc/mysql-ai/9.4/en/myai-installation-clean-cmdline.html
Warning MySQL AI might not work or might have performance issues if installed on a system that does not satisfy the minimum requirements. The MySQL AI Installer can also be run in command-line mode, without invoking the installation GUI. Install ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-classification-generate-explanation.html
A negative value can have different interpretations depending on the specific model explainer used for the model. You have the option to specify the input table and output table as the same table if specific conditions are met. After training a ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-explainers.html
For example, if a feature in a loan approval model with two possible predictions ('approve' and 'reject') has a negative value for an 'approve' prediction, that feature would have a positive value for a 'reject' prediction. After the ML_TRAIN ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-explanations.html
The data must have the same feature columns as the data used to train the model. Prediction explanations are generated by running ML_EXPLAIN_ROW or ML_EXPLAIN_TABLE on unlabeled data. Prediction explanations are similar to model explanations, but ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-forecasting-model-types.html
Univariate and Multivariate Models with Exogenous Variables You have the option to define exogenous variables for univariate and multivariate models. This topic describes the types of forecasting models supported by AutoML. Univariate Models In a ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-load-model.html
mysql> CALL sys.ML_MODEL_LOAD('census_data.census_train_user1_1745261646953', NULL); Verifying Model is Loaded You have the option to verify that model is loaded by using the ML_MODEL_ACTIVE routine. You must load a machine learning model from the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-prereqs.html
Classification models: Must have at least two distinct values, and each distinct value should appear in at least five rows. MySQL User Names To use AutoML, ensure that the MySQL user name that trains a model does not have a period character (".").
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-recommendation-model-types.html
Users do not have to explicitly express their taste about an item. For example, if users are tracked by how many times they have interacted with an item, you might set the feedback_threshold with a value of 3, which means that positive feedback is ... You can create recommendation models based on either explicit or implicit ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-training-a-recommendation-model.html
It is a JSON object that can have the table_name option as a key, which specifies the table that has item descriptions. This table must only have two columns: one corresponding to the item_id, and the other with a TEXT data type (TINYTEXT, TEXT, ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-using-a-recommendation-model-items-to-users.html
For a new item, and an explicit feedback model, the prediction is the global top K users who have provided the average highest ratings. You have the option to specify the input table and output table as the same table if specific conditions are met.