Random Gaussian
Generates a random numeric value using a Gaussian (aka normal) distribution. The shape can be controlled with two inputs: mean and standard deviation. These inputs can be numbers, vectors, tuples or arrays of these. If one input has a higher dimension than the other, then the input with lower dimension will be repeated to match the dimension of the other input (broadcasting).
Installation
To use this Node, you must enable omni.graph.nodes in the Extension Manager.
Inputs
Name |
Type |
Description |
Default |
|---|---|---|---|
execIn |
|
The input execution port to output a new random value |
|
Seed (seed) |
|
The seed of the random generator. |
|
Use seed? (useSeed) |
|
Use the custom seed instead of a random one? |
False |
Mean (mean) |
|
The mean of the normal distribution. Can be a number, vector, tuple, or array of these. |
|
Standard Deviation (stdev) |
|
The standard deviation of the normal distribution. Can be a number, vector, tuple, or array of these. |
|
Use log-normal? (useLog) |
|
Use a log-normal distribution instead? |
False |
Outputs
Name |
Type |
Description |
Default |
|---|---|---|---|
Random Gaussian (random) |
|
The random Gaussian value that was generated |
|
execOut |
|
The output execution port |