NL Optimization
Last updated: 06 Jan 2023
Description¶
The NL Optimization node is used to solve an optimization problem where some of the constraints are nonlinear.
Configuration Options¶
Basic Configuration Options¶
| Setting | Description\Parameters |
|---|---|
Split Columns |
The selected column(s) will be used to split the data set over to build additional models. |
Optimization Type |
Options |
- Minimize
- Maximize
Objective Function|Objective function for optimization. Written in JavaScript.|
|Role Columns| Splits input data into SCORING or TRAINING. Builds the model from TRAINING data.|
|Predictors to Optimize|The columns we are optimizing.|
Advanced Configuration Options¶
| Setting | Description |
|---|---|
Minimum Percent Change |
Continue to run optimization until the change is less than this minimum. |
Number of Iterations |
Number of iterations to run the optimization for. |
Iteration Sample Size |
Number of data rows per iteration. |
Verbose Output |
Flag for debug logging. |
Actions¶
| Action | Description |
|---|---|
Preview |
After configuring the node, the combined result set can be previewed by clicking the Preview button. |