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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-topic-modeling-prepare.html
This topic describes how to prepare the data to use for topic modeling. To prepare the data for this use case, you set up a dataset to use for both training and testing. You have the option to automatically Prepare Training and Testing Datasets ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-topic-modeling-train.html
After preparing the data for topic modeling, you can train the model. Before You Begin Review and complete all the tasks to Prepare Data for Topic Modeling. Requirements for Topic Modeling Training Define the following required parameters for topic ...
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-aml-training-a-recommendation-model.html
After preparing the data for a recommendation model, you can train the model. Requirements for Recommendation Training Define the following as required to train a recommendation model. Set the task parameter to recommendation to train a ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-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/mysql-ai/9.5/en/mys-ai-aml-unload-model.html
Before You Begin Review the following Train a Model Load a Model Unload a Model You can verify what models are currently loaded with the ML_MODEL_ACTIVE routine before and after unloading the model. mysql> CALL sys.ML_MODEL_ACTIVE('all', ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-use-cases.html
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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-a-forecasting-model.html
To generate predictions, use the sample data from the electricity_demand_test dataset. Even though the table has labels for the demand target column, the column is not considered when generating predictions. This allows you to compare the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-a-recommendation-model-items-to-users.html
This topic describes how to generate recommended users for items. For known users and known items, the output includes a list of users that will most likely give a high rating to an item and will also predict the ratings or rankings. For a new ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-a-recommendation-model-ratings-rankings.html
This topic describes how to generate recommendations for either ratings (recommendation model with explicit feedback) or rankings (recommendation model with implicit feedback). If generating a rating, the output predicts the rating the user will ...