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First of all, thanks for this great tool for parsing PDFs. I am facing issues when extracting text from two column text pages in PDF (research paper). In such cases, the start of the left column text …
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Hi Scott,
First off, thanks for the work you've done on SHAP. I think it'll definitely help people get more comfortable with ML model results and make them mainstream.
I came across the followin…
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# Tweet summary
Stable and not-overfitting approach to rank feature importance. Iterate feature importance test based on RandomForest or boosting methods with randomly generated additional "shadow" f…
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Even though it's incredibly inefficient, the "Hello World" of task parallelism is computing Fibonacci in recursive way, spawning about 2^n tasks.
Unfortunately, Nim threadpool reliably deadlocks on…
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```
pratyush@pratyush-GS65-Stealth-Thin-8RF:~/dev/chess-alpha-zero$ python src/chess_zero/run.py self
2018-11-08 19:17:05,638@chess_zero.manager INFO # config type: mini
Using TensorFlow backend.
…
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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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Implement Gradient Boosted Trees and GBT based importance analysis.
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I have been spending some time recently in trying to understand the shapley values and how they are calculated in the SHAP package. The TreeSHAP works well for non linear models like XGBoost but i am …
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Hi,
Thanks for this great open source project. It definitely is a great tool to solve many real life problems. Since I am a total newbie to this domain, I hope you could give me some advices regard…
cckao updated
4 months ago
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[`ENTMOOT`](https://github.com/cog-imperial/entmoot) is a Python package providing "multiobjective black-box optimization using gradient-boosted trees". This issue provides an API for Entmoot within B…