make_sine_data
data.make_sine_data(n_samples=100, sd=1, X_low=-6, X_high=6, random_seed=None)
Generate data for nonlinear regression.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
n_samples |
int |
Number of samples to generate. | 100 |
sd |
float |
Standard deviation of the normally distributed errors. | 1 |
X_low |
float |
Lower bound for simulated X values. |
-6 |
X_high |
float |
Upper bound for simulated X values. |
6 |
random_seed |
int |
Seed to control randomness. | None |
Returns
| Type | Description |
|---|---|
tuple |
A tuple containing the X and y arrays. X is a 2D array with shape (n_samples, 1) and y is a 1D array with shape (n_samples,). X contains the simulated X values and y contains the corresponding sine values with added normally distributed errors. |