NL Optimization

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Description

The NL Optimization node solves an optimization problem where some of the constraints are nonlinear.


Configuration Options

Basic Configuration Options

Setting Description\Parameters
Split Columns The selected columns 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 Once the node is configured, the combined result set can be previewed at any time.