Nipun Batra

http://code.shutterstock.com/rickshaw/examples/x_axis.html gives an example on how strings can be set as xticks. So for a df/series like: ``` python In [50]: s = pd.Series(np.random.randn(5), index=['a', 'b', 'c', 'd', 'e']) In...

Mutliple plots in single HTML

3

It would be good if multiple plots could come in a single html file. The advantage would be that we get sort of inline plots like in IPython Notebook, but...

Ffmpeg and other binary support in Carnets

2

Hi, thanks again for the amazing work. In a recent blog post https://nipunbatra.github.io/blog/ml/2021/06/18/audio-filters.html I was working on ffmpeg plus Python for some audio filtering. Now, a shell has ffmpeg, Carnets...

Currently, the two figures in the book are screenshots Use tinyGP and [follow the Distill article on BayesOpt](https://distill.pub/2020/bayesian-optimization/) and the [corresponding code repo](https://github.com/distillpub/post--bayesian-optimization) to generate these plots using code.

The current figure is a screenshot. The following [slides](https://www.cs.toronto.edu/~duvenaud/papers/uw_additive_gp_slides.pdf) are a good introduction to GP GAMs

Support for LaTeX text

12

Is it possible to display LaTeX text in Vega? Can we use MathJax to render the math? cross-ref: https://github.com/vega/vega-lite/issues/2640 1. https://stackoverflow.com/questions/25381357/d3-js-latex-translation 2. LaTex in plotly.js: https://plot.ly/javascript/LaTeX/ 3. MathJax vs KaTex:...

[Docs] Adding a doc page on debugging through a model (and notebook on Probabilistic PCA for tutorials)

2

Hi, I was preparing a tutorial on Prob. PCA [mirroring the tutorial in TFP](https://www.tensorflow.org/probability/examples/Probabilistic_PCA). After non-trivial debugging , toying with `to_event`, I managed to get the example working in Pyro...

[Feature Request] 1) More details in `render_model` (esp. for `pyro.params`); 2) Returning dictionary from render_mode

5

Hi, From the MLE-MAP tutorial, we have the following models ### MLE model ```python def model_mle(data): f = pyro.param("latent_fairness", torch.tensor(0.5), constraint=constraints.unit_interval) with pyro.plate("data", data.size(0)): pyro.sample("obs", dist.Bernoulli(f), obs=data) ``` If we...

I was trying to write a small example for GP classification. ```python import pyro import pyro.contrib.gp as gp import numpy as np import torch X = torch.randn(200, 2) Y =...

Hi, I wanted to show some examples of the feature I'm proposing. First, I show models and kernels from [GPy tutorial](https://nbviewer.org/github/SheffieldML/notebook/blob/master/GPy/models_basic.ipynb) A similar interface in GPFlow I propose something similar...