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Release: Australia · Updated: 2026-03-12 · Official documentation · View source

Use LightGBM algo for classification model training

Enable the LightGBM (Light Gradient-Boosting Machine) algorithm as an advanced option for training classification models.

Before you begin

Role required: ml_admin or admin

About this task

The LightGBM algorithm offers performance and efficiency for large datasets. For detailed information about this algorithm see https://lightgbm.readthedocs.io.

Use the following procedure to add this option in the solution definition form. Alternatively, you can use a script to add this algorithm.

To add this option using a script:

var config = new MLPredictorConfig('ml_solution_ID');
                    config.useLightGBM();
                    config.updateConfig();

In JSON format:

{
    "use_lightgbm": true
    }

Procedure

  1. Navigate to All > Predictive Intelligence > Classification > Solution Definitions.

  2. Open an existing classification solution or create a new one.

  3. Select the Advanced Solution Settings tab in the Related Links section of the form.

  4. Select New to open the Advanced Solution Setting (ml_advanced_solution_settings) form.

  5. In the Solution Parameters field, search for Use LightGBM algo for classification model training.

  6. Leave the User Inputs field blank, and select Submit.

Image omitted: predictive-intel-lightgbm-algoZ1.png
In the Advanced Solution Setting new record, in the Solution Parameters field, the option Use LightGBM algo for classification model training is highlighted.

Result

The setting appears as a row on the Advanced Solution Setting tab on your solution's form.

What to do next

Retrain your solution.

Parent Topic:Configuring advanced settings for your ML solutions

Related topics

Using Machine Learning APIs

Create and train a classification solution