Gaussian Distributed Assigner

Assigns a value based on the class column. This value is Gaussian distributed as defined in the configuration by its mean and standard deviation.
This number generator can be used to generate different distributions based on the values of a categorical dependency column. To use this option please select a dependency column. You will then be able to assign one parameter settings for each value of the given class column.

Options

Dependency column
Choose a class column. Choose "None" to define one setting for the whole table.
Column name
The name for the generated column.
Use seed
When enabled, the random number generation will use a fixed seed value, making the randomization reproducible across multiple executions. When disabled, each execution will produce different random results.
Random seed
The seed value used for random number generation. Use the same seed to get identical random number results across multiple executions. You can enter a custom value or use the random seed generation button below.
Draw seed
Generate a random seed and set it in the Random seed input above for reproducible runs.
Min column bound
The minimum bound for the generated values of the whole column.
Max column bound
The maximum bound for the generated values of the whole column.
Values
The mean and the standard deviation can be defined for each value of the given class column.
  • Name: The class column value from the dependency column.
  • Mean: The mean (expected value) of the Gaussian distribution.
  • Std. Dev.: The standard deviation of the Gaussian distribution, controlling the spread of values.

Input Ports

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Data table.

Output Ports

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one additional column containing the Gaussian distributed value.

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