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Some models allow infinite dimensional hyper-parameters.
**Eg 1**: [XGBoost](https://juliacomputing.com/blog/2020/02/24/ad-xgboost.html) allows custom loss functions. (As does @xiaodaigh's [JLBoost.…
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# Gradient Boosting Machines method
### Definition
Implement an attempt to solve the challenge using a Gradient Boosting Machines method
### Definition of done
- [ ] Reprocess initial data to …
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There may be an error in the tutorial of this package on this [website](https://uc-r.github.io/iml-pkg): "Interpreting Machine Learning Models with the iml Package". If we want to check the `FeatureIm…
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I recently tried to run the scikit-learn test suite with the [pytest-memray](https://github.com/bloomberg/pytest-memray) plugin. Here are the tests that allocate the most memory.
Here is are the to…
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### Describe the bug
BinMapper under _hist_gradient_boosting does not accept sample weights as input leading to mismatch of bin thresholds outputted when calculating weighted versus repeated sample…
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Hi, I am trying to use this library and have followed the README but I'm getting this error when I use the command:
`python batchTest.py -d credit -m mlp -n one_norm -a MACE_eps_1e-3 -b 0 -s 1`
I'…
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It would be nice to have some integrated tools for model inspection and feature importance (FI). Below are some links to resources and what's available in scikit learn.
Scikit learn exposes a numbe…
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Customer churn refers to the phenomenon where customers stop doing business with a company. In the context of a bank, it means customers closing their accounts or ceasing to use banking services. Buil…
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Hi
thanks for the work on this library. Since you all are experienced with XGBoost, I was wondering if you have any thoughts on rewriting XGBoost in Julia, potentially using Metal.jl? I am sure Ap…
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> By having a wild thought on start a career on Artificial intelligence, started today to do a tiny research on how to study AI. It turns out it consist of a shit black hole of knowledges, which means…