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As part of our ongoing efforts to improve the performance and accuracy of our predictive models, we need to evaluate a variety of machine learning and deep learning algorithms. Here's a list of models…
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Hi, I am trying to do some XAI evaluation experiments using classifiers and various Shap explainer algorithms.
I am using a breast_cancer binary classification toy data set in order to verify that t…
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**(My notes go in sequential order.)**
- In the Introduction it says "We will illustrates", but it should be "We will illustrate".
- The following lines below the introduction state:
"Gradient Boos…
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### Session description
An intro+Q&A for the [Ladybird](https://ladybird.org/) browser engine: a completely new engine written from scratch (using no code from Blink/Chromium, WebKit/Safari, Gecko/…
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Maybe we should support feature importance in HistGradientBoostingClassifier/Regressor?
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1. NumPy
2. Pandas
3. Scipy
4. matplotlib
5. Patsy
6. Sympy
7. Plotly
8. statsmodels
9. ADiPy
10. matalg27
11. mplstyler
12. Scikit-image
13. Scikit-learn
14. Gnuplot.py
15. NetworkX
1…
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Hello - thanks for the wonderful package. From the writeup and the description, it seems very promising.
I wanted to check if GPBoost supports or will support sample weights? I have tried in both …
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I have an app that uses Universal Recommender. The app is an app for finding a house for rent.
I want to recommend users houses based on houses they viewed or scheduled a tour on already.
I added …
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https://docs.google.com/forms/d/e/1FAIpQLSevaP642IXiaqmzobc3A82zW6eQHSzG8pus-Jj5AFkairRVBQ/viewform
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Being able to search directly for `Phys.Lett. B716 (2012) 1-29` would be nice. Right now this returns 0 results from the demo-records. It should return 1.
It can be implemented by adding a new indexi…