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Currently, most of the built-in probabilistic primitives only have their density functions tested (at a test point). The samplers are untested. It should be possible to develop a standard testing sche…
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This package already has some nice options.
For general distributions
- [x] [Anderson-Darling](https://juliastats.org/HypothesisTests.jl/latest/nonparametric/#Anderson-Darling-test-1)
- [ ] [Cr…
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Using 0.7.1 and trying to get "uniform" from the variety/species column of the `iris` dataset, but it does not consider "uniform" as a possible result:
```python
import pandas as pd
def is_cat(…
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We should add some testing for distributions. Unfortunately since distribution samples are random, this is inherently difficult. Original issue https://github.com/dhardy/rand/issues/72.
See for som…
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Dear team, thank you for your wonderful software RISC. It is great!
However, I run umap and find the clusters crowd together and overlap (pic in the attachment)
And the code below (scRNA is my Seura…
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Preprocess tools that sort which parameter's rank plot to inspect first
"high-dimensional models there are often only a few parameters/summaries of interest to the final application, and SBC is much …
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# DeepScore: Community curated scoring, supercharged with AI
![EJ2PqRjXsAIQrb6](https://user-images.githubusercontent.com/16521288/195572456-62ab95bf-d0bc-4f70-b5e4-272cb509eff4.jpeg)
(Image taken f…
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@awpark The manuscript looks really promising. I was careful to not really change too much of the text itself, and my comments are embedded in the Rmd file commented out html-style i.e., .
Most of …
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One nice suggestion was to generate machine-readable results for the output of physical_validation. The steps would be
1) Determine a JSON schema for the results
2) The functions fill in the schem…