extensions.plots.plot_cates_line(estimated_cates, *, true_cates=None, standard_errors=None, alpha=0.05, window=30, figure_kwargs={}, line_kwargs={})
Plots a line plot of the ordered estimated CATEs as a rolling mean with optional confidence intervals.
| Name | Type | Description | Default |
|---|---|---|---|
estimated_cates |
numpy.typing.ArrayLike | The estimated CATEs. | required |
true_cates |
numpy.typing.ArrayLike | None | The true CATEs. | None |
standard_errors |
numpy.typing.ArrayLike | None | The standard errors of the estimated CATEs. | None |
alpha |
float | The alpha level for the confidence intervals. The default is 0.05, which corresponds to 95% confidence intervals. | 0.05 |
window |
int | The window size for the moving average. | 30 |
figure_kwargs |
dict | Matplotlib figure arguments. | {} |
line_kwargs |
dict | Matplotlib line arguments. | {} |
| Type | Description |
|---|---|
| matplotlib.figure.Figure | The line plot figure object. |
import numpy as np
from caml.extensions.plots import plot_cates_line
np.random.seed(42)
true_cates = np.random.normal(0, 1, 100)
estimated_cates = true_cates + np.random.normal(0, 0.5, 100)
standard_errors = np.random.normal(0, 0.1, 100)
fig = plot_cates_line(estimated_cates, true_cates=true_cates, standard_errors=standard_errors, window=5)
fig