About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Last updated: Feb 11, 2025
The Simulation Fitting (Sim Fit) node examines the statistical distribution of the
data in each field and generates (or updates) a Simulation Generate node, with the best fitting
distribution assigned to each field. The Simulation Generate node can then be used to generate
simulated data.
properties |
Data type | Property description |
---|---|---|
|
boolean | You can generate the name of the generated (or updated) Simulation Generate node automatically by selecting Auto. |
|
string | Specify a custom name for the generated (or updated) node. |
|
string | Specifies the number of cases to use when fitting distributions to the fields
in the data set. Use or . |
|
integer | The number of cases |
|
string |
For continuous fields, specify either the |
|
integer | For continuous fields, the Empirical distribution is the cumulative distribution function of the historical data. |
|
field | Specify the weight field if your data set contains one. The weight field is then excluded from the distribution fitting process. |
Was the topic helpful?
0/1000