pipme
pipme
`tol` is not parsed to `scipy.optimize.minimize` in `ScipyMinimize`.
# 🐛 Bug The `forward()` function's [implementation](https://github.com/cornellius-gp/gpytorch/blob/master/gpytorch/kernels/spectral_mixture_kernel.py#L308) in `gpytorch/gpytorch/kernels/spectral_mixture_kernel.py` seems to be wrong. I am also wondering which formula you are using. @gpleiss 1. The formula (12) in [this paper](https://arxiv.org/pdf/1302.4245.pdf)...
```python import tensorflow_probability as tfp import copy tfd =tfp.distributions tfb = tfp.bijectors log_normal = tfd.TransformedDistribution( distribution=tfd.Normal(loc=0., scale=1.), bijector=tfb.Exp(), name='LogNormalTransformedDistribution') copy.deepcopy(log_normal) ``` The above raises `TypeError: missing a required argument: 'distribution'`....
# 🐛 Bug For context, I am trying this tutorial notebook for SGPR https://docs.gpytorch.ai/en/latest/examples/02_Scalable_Exact_GPs/SGPR_Regression_CUDA.html and would like to use L-BFGS to optimize it. Therefore,`from botorch import fit_gpytorch_mll` is added. Botorch...
I wanted to specify the colormap for contours and thus modified a few lines. Open a PR since maybe it could be helpful for others too : )
Update `numpy` to `>=2.0.0` and `cma` to `>=3.4.0`.
Fix broken image links in the notebook `examples/generalized_linear_models/multilevel_modeling.ipynb`. #712
**Notebook title**: `examples/generalized_linear_models/multilevel_modeling.ipynb` **Notebook url**: https://www.pymc.io/projects/examples/en/latest/generalized_linear_models/multilevel_modeling.html#multilevel-and-hierarchical-models ## Issue description The links to external images are broken.