Last updated: Jan 17, 2024
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.
simfitnode properties |
Data type | Property description |
|---|---|---|
custom_gen_node_name |
boolean | You can generate the name of the generated (or updated) Simulation Generate node automatically by selecting Auto. |
gen_node_name |
string | Specify a custom name for the generated (or updated) node. |
used_cases_type |
string | Specifies the number of cases to use when fitting distributions to the fields
in the data set. Use AllCases or FirstNCases. |
used_cases |
integer | The number of cases |
good_fit_type |
string |
For continuous fields, specify either the |
bins |
integer | For continuous fields, the Empirical distribution is the cumulative distribution function of the historical data. |
frequency_weight_field |
field | Specify the weight field if your data set contains one. The weight field is then excluded from the distribution fitting process. |