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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-scoring-a-forecasting-model.html
After generating predictions, you can score the model to assess its reliability. For a list of scoring metrics you can use with forecasting models, see Forecasting Metrics. For this use case, you use the test dataset for validation. In a real-world ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-scoring-a-recommendation-model.html
After generating predicted ratings/rankings and recommendations, you can score the model to assess its reliability. For a list of scoring metrics you can use with recommendation models, see Recommendation Model Metrics. For this use case, you use ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-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/heatwave/en/mys-hwaml-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 Train Model What's Next Before You Begin Review and complete all the tasks to ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-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/heatwave/en/mys-hwaml-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/heatwave/en/mys-hwaml-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 ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-using-a-recommendation-model-similar-items.html
This topic describes how to generate recommendations for similar items. For known items, the output includes a list of predicted items that have similar ratings and are appreciated by similar users. The predictions are expressed in cosine ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-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/heatwave/en/mys-hwaml-using-a-recommendation-model-users-to-items.html
This topic describes how to generate recommended items for users. For known users and known items, the output includes a list of items that the user will most likely give a high rating and the predicted rating or ranking. For a new user, and an ...