-
# Gaussian Process 高斯过程
## 基础知识
- [随机过程]
- [高斯分布](/Gaussian_distribution)
## Brief
- 高斯过程 : 符合高斯分布的变量的集合
- **随机向量** - ![image](https://user-images.githubusercontent.com/2216970/1120978…
-
There is an inconsistency between the celerite2 Getting Started tutorial and the Exoplanet tutorials in the use of `GaussianProcess` and `compute`. Specifically, in the celerite2 tutorial `compute` is…
-
I am working with a rather large sub-set of data (922854 location-position pairs). When attempting to do GuassianProcess.Predict() an integer overflow occurs, which results in an index out of bounds e…
-
ImportError: cannot import name 'gaussianprocess'
need change to 'from sklearn import gaussian_process'
-
First, apologies if this is not the right place to post it.
I'm trying to read in MATLAB a pmml file made from a different modeller. Unfortunately I always get the same errors:
Error using pmml.…
-
```python
from sklearn.gaussian_process import GaussianProcess
```
Which show the Error message: `ImportError: cannot import name 'GaussianProcess'`
It may be raised by this function has been remo…
-
The code in the tutorial for black box function optimization doesn't work ( https://automl.github.io/RoBO/tutorials.html#blackbox-function-optimization-with-robo ).
Additionally test_fmin/test_fmin_i…
ghost updated
7 years ago
-
from sklearn.gaussian_process import GaussianProcess
model = lambda x: x * np.sin(x)
xdata = np.array([1, 3, 5, 6, 8])
ydata = model(xdata)
**gp = GaussianProcess(corr='cubic', theta0=1e-2, th…
-
When instantiating many 2-dimensional GPs with exponentiated quadratic kernels and sampling over several thousand points, I'm getting memory errors: `ResourceExhaustedError: failed to allocate memory …
-
from sklearn.gaussian_process import GaussianProcess
model = lambda x: x * np.sin(x)
xdata = np.array([1, 3, 5, 6, 8])
ydata = model(xdata)
**gp = GaussianProcess(corr='cubic', theta0=1e-2, th…