Configuring model settings
The product uses default model settings to preprocess data and train models. However, you can configure your model settings to train your model. You can choose to automatically or manually configure the model settings. If you automatically configure the model settings, the product uses default values for model settings and data preprocessing. If you manually configure the model settings, you have more control of the values.
About this task
You can use the model settings function to set the configuration settings for currently selected asset type. You can switch asset types using the asset type menu on the asset panel.
When you upload your data, an initial training is automatically completed by using the following
parameters:
- Number of Trees: 3
- Maximum Depth of Tree: 3
- Learning Rate: 0.3
For the Gradient Boosting Decision Tree (GBDT) regression model type, the following parameters
are available:
- Number of Trees, range [2, 100], default 10
- Maximum Depth of Tree, range [2, 10], default 4
- Loss Function, default leastSquaresError, logLoss, and leastAbsoluteError
- Learning Rate, range [0.01, 0.3], default 0.1
During training, the settings icon and Retrain button are disabled.