th the name of the columns that will be used as features by your model, and finally the forth argument is the id of the row you want to classify:</p>
        {% highlight sql%}{% raw%}SELECT * FROM pgpyml.predict_table_row(
    '/home/vagrant/examples/iris/models/iris_decision_tree.joblib', -- The trained model
    'iris', -- Table with the data
    '{"sepal_length", "sepal_width", "petal_length", "petal_width"}', -- The columns used as feature
    1 -- The ID of your data
);
    {% endraw %}{% endhighlight