Description
The Upper Bound value for a hyperparameter in the value table is not valid. Each hyperparameter has a range of possible values. The Upper Bound value for each selected hyperparameter must be within the range of valid values for that hyperparameter.
Solution
Provide an Upper Bound value within the range for the specified parameter.
| Label | Name | Range |
|---|---|---|
Number of Trees | number_of_trees | An integer value greater than 1. |
Maximum Tree Depth | maximum_depth | An integer value greater than or equal to 0. |
Minimum Leaf Size | minimum_leaf_size | An integer value greater than 1. |
Data Available per Tree (%) | sample_size | An integer value greater than 0 and less than or equal to 100. |
Number of Randomly Sampled Variables | random_variables | An integer value less than or equal to the number of explanatory variables. This includes the explanatory variables from fields, distance features, and rasters. |
Learning Rate (Eta) | eta | A double value greater than 0 and less than or equal to 1. |
L2 Regularization (Lambda) | reg_lambda | A double value greater than or equal to 0. |
Minimum Loss Reduction for Splits (Gamma) | gamma | A double value greater than or equal to 0. |
Maximum Number of Bins for Searching Splits | max_bins | An integer value greater than 1 or equal to 0. A value of 0 means the model will create a candidate split at every data point. |