Exponential
core.Random.Exponential(self, Lambda, min=None, max=None, seed=None)Exponential distribution, according to the density function:
P(x | \lambda) = \lambda e^{(-\lambda x )}
Note: Lambda is capitalized, otherwise it would be a reserved Python keyword.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| Lambda | float | rate parameter. | required |
| min | float | minimum value (default: unlimited). | None |
| max | float | maximum value (default: unlimited). | None |
| seed | int | (optional) seed for the random generator. If left None, the value set in ann.setup() is used. |
None |
Methods
| Name | Description |
|---|---|
| get_values | Returns a Numpy array with the given shape. |
get_values
core.Random.Exponential.get_values(shape)Returns a Numpy array with the given shape.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| shape | tuple | Shape of the array. | required |
Returns
| Name | Type | Description |
|---|---|---|
| np.ndarray | Array. |