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 |