Launch the Bayesian Optimization Platform

Launch the Bayesian Optimization platform by selecting Analyze > Specialized Modeling > Bayesian Optimization.

Figure 18.4 The Bayesian Optimization Launch Window 

For more information about the options in the Select Columns red triangle menu, see “Column Filter Menu” in Using JMP.

The Bayesian Optimization launch window contains the following options:

Y

Specifies one or more continuous response columns.

X

Specifies one or more factor columns.

Iteration

Specifies a column of iterations for the batches. This column is automatically created and updated by the platform. Use this column when returning to the platform to update the analysis after batch data collection. This column must have a Numeric data type, an Ordinal modeling type, and contain the values 0, 1,..., n. The Iteration column should also have a BO_Iteration_Col tag.

Note: The batch iteration column enumerates each time that you generate a new batch of runs and append the runs to your data table.

Run Order

Specifies a column that is used to order the points on the desirability chart. If this column is not specified, the row numbers are used instead.

Number of Batch Runs to Autoselect

Specifies the number of runs (factor combinations) that are automatically selected as the next batch for data collection. When you click OK, the number of batch runs specified is the number of factor combinations in the Current Batch section of the Batch Selection tab. See Current Batch.

Advanced Options

Shows a submenu of advanced options for Bayesian Optimization.

Model Based Augmentation RSquare Threshold

Specifies a value that is used to determine the default augmentation algorithm that is used to automatically select the batch runs. By default, this value is 0.25. The Bayesian Optimization platform uses the Space Filling Exploration, Confirm and Challenge Optima, and Refine Model algorithms to select batch runs. See Autoselect Rows.

Number of Candidate Set Rows

Specifies the number of factor combinations that are automatically generated to form the initial candidate set. By default, the number of candidate set rows is the minimum of 1000 times the number of factors and 10,000.

Continuous Correlation Type

Specifies the variance function that is used to model continuous response variables. You can select Gaussian, Matern 5/2, Matern 3/2, or Exponential variance functions.

Ordinal Correlation Type

Specifies the variance function that is used to model ordinal response variables. You can select Equal Correlations, Unequal Correlations, or Latent Variable.

Nominal Correlation Type

Specifies the variance function that is used to model nominal response variables. You can select Equal Correlations or Unequal Correlations.

Data Format

It is recommended that response columns have the Response Limits column property set prior to launching the platform. If you do not set response limits, default values are automatically generated by the profiler within the platform. If using an Iteration column, this column must have a Numeric data type, an Ordinal modeling type, and contain the values 0, 1,..., n. The Iteration column should also have a BO_Iteration_Col tag. If an Iteration column is not specified in the launch window, it is created automatically after you save the first batch of runs.