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Here's a compilation of related work to the AI-DSL. That is work that attempts to partially or wholly fulfill some of the goals of the AI-DSL.
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* Title: An Ontology for Engineering Mathematic…
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## Goal
This package includes testing of stochastic code. Primarily MCMC for Bayesian inference via Stan. It's challenging to include integration tests for such code. For example if the code produc…
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We know that LightGBM currently supports quantile regression, which is great, However, quantile regression can be an inefficient way to gauge prediction uncertainty because a new model needs to be bu…
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Julia is generally a much faster language than R, especially when doing lots of computations. Given that JuliaCall lets you use Julia very easily from within R, I'm wondering if it would be a good ide…
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* Chess Tuning Tools version: My fork = no opening book and normalize_y=True
* Python version: 3.8.7
* Operating System: Linux
### Description
I have noticed that the y-scales of the plots, th…
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Blei, David. 2012. [“Probabilistic Topic Models"](https://m-cacm.acm.org/magazines/2012/4/147361-probabilistic-topic-models/fulltext?mobile=true)”. _Communications of the ACM_ **55**(4):77-84.
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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Hello :)
I have outlined the request (an 'issue' at the time of posting it at the forum but I've since been told that it is not possible in the current version of JASP) at the link below,
https:…
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I've noticed that after training a model, the final reported metrics do not reflect true model performance. Validation appears to only be run on the `last` epoch, not the `best`. This typically under-…
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Putting an issue here to say I intend to add the functionality for inverse propensity score weighting approaches to estimating ATE.
As discussed here: https://www.pymc.io/projects/examples/causal_in…