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We have classification problem with input state of dimension 1,000,000 (very large).
Current Decision Tree using greedy algorithm, it's impossible to get the optimal tree.
But, due to the nature o…
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**Submitting author:** @mastoffel (Martin Stoffel)
**Repository:** https://github.com/alan-turing-institute/autoemulate
**Branch with paper.md** (empty if default branch): joss
**Version:** v0.2.0
**E…
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Hi,
I’m trying to fit a radial BNN posterior variational approximation as per [this paper](https://arxiv.org/abs/1907.00865).
However, since I’ll be training a BNN, I don’t want to have to write…
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Hi Donald,
Thanks for the awesome package. I am trying to run estimate with 15 variables, first six variables are ordinal variables on a 5-point Likert Scale (from 1 to 5) and the latter 9 variabl…
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When comparing to random sampling it does not seem to give significantly different results. I would have expected the curve to be much higher for active learning. Potentially the defaults aren't great…
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Hi,
thanks for this nice work, I really appreciate it!
I tried to replicate the results from your paper with the repository, but I have not succeeded.
First, I downloaded your repo and the da…
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```
First, let me thank you for providing and taking care for this great toolkit!
I've been using it for a while and it opened lots of new possibilities for my
research!
What steps will reproduce …
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```
First, let me thank you for providing and taking care for this great toolkit!
I've been using it for a while and it opened lots of new possibilities for my
research!
What steps will reproduce …
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Currently query methods can only return a Factor/TabularCPD instance over a variable. It should also work in the case of queries like:
```python
model.query([('var', 0)], evidence=[(something)]
`…
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```
First, let me thank you for providing and taking care for this great toolkit!
I've been using it for a while and it opened lots of new possibilities for my
research!
What steps will reproduce …