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Train a model from MySQL database


Train new model

To train a new model, you will need to INSERT a new record inside the mindsdb.predictors table.

How to create the mindsb.predictors table

Note that after connecting the MindsDB and MySQL servers, on start, the MindsDB server will automatically create the mindsdb database and add the predictors table.


Don't forget to enable FEDERATED Storage Engine as explained in connect your data section.

The INSERT query for training new model is quite simple, e.g.:

INSERT INTO mindsdb.predictors(name, predict, select_data_query)
VALUES('model_name', 'target_variable', 'SELECT * FROM table_name');

The values provided in the INSERT query are:

  • name (string) -- The name of the model.
  • predict (string) -- The feature you want to predict. To predict multiple features, include a comma separated string, e.g. 'feature1,feature2'.
  • select_data_query (string) -- The SELECT query that will ingest the data to train the model.
  • training_options (JSON as comma separated string) -- optional value that contains additional training parameters. For a full list of parameters, check the PredictorInterface.

Train model from mySQL client


To train timeseries model, check out the timeseries example.

Train new model example

The following example shows you how to train a new model from a mysql client. The table used for training the model is the Us consumption dataset.

INSERT INTO mindsdb.predictors(name, predict, select_data_query,training_options) VALUES ('airq_predictor', 'SO2', 'SELECT * FROM default.pollution_measurement', '{"timeseries_settings":{"order_by": ["Measurement date"], "window":20}}');

This INSERT query will train a new model called airq_predictor that predicts the SO2 value. Since this is timeseries data, the timeseries_settings will order the data by the t column and will set the window for rows to "look back" when making a prediction.

Model training status

To check that the training finished successfully, you can SELECT from the mindsdb.predictors table and get the training status, e.g.:

SELECT * FROM mindsdb.predictors WHERE name='<model_name>';

Training model status

That's it 🎉 🏆 💻

You have successfully trained a new model from a MySQL database. The next step is to get predictions by querying the model.