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.
Table 1. simfitnode properties
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 AnderDarling test or the
KolmogSmirn test of goodness of fit to rank distributions when fitting
distributions to the fields.
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.
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