We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent e4561c6 commit 7d15175Copy full SHA for 7d15175
pymc/gp/hsgp_approx.py
@@ -108,9 +108,9 @@ def approx_hsgp_hyperparams(
108
109
Parameters
110
----------
111
- x_range : List[float]
112
- The range of the input variable on which the GP is going to be evaluated.
113
- Should be a list with two elements [x_min, x_max].
+ x : np.ndarray
+ The input variable on which the GP is going to be evaluated.
+ Careful: should be the X values you want to predict over, not *only* the training X.
114
lengthscale_range : List[float]
115
The range of the lengthscales. Should be a list with two elements [lengthscale_min, lengthscale_max].
116
cov_func : str
0 commit comments