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## Description
In a single machine with 8 workers, I am trying to implement Distributed Lightgbm. To understand the role of the machines parameter. I have created a list of machines with 8 new ports …
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## Summary
Currently, providing `init_score` to random forest training produces an [error](https://github.com/microsoft/LightGBM/blob/41ba9e8f00c89d72e5cb71c964722ce1ed4d8445/src/boosting/rf.hp…
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I'm trying to benchmark the zero-shot ``flaml.default.LGBMClassifier`` and I have seen some unexpected results. I'm working on Flaml 2.1.1.
```python
from sklearn.datasets import load_iris
fr…
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Is there any way to export auto_ml models to use in other languages?
Sort of like there is [PMML](https://en.wikipedia.org/wiki/Predictive_Model_Markup_Language) for many other models like lgbm/xgb…
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If parameter tree_learner in my model.txt is serial, can each tree in this model be predicted using multiple threads?
when I test it, I found only one thread with 100% CPU usage, all the otheer threa…
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I would love to see integration of Microsoft's [FLAML](https://microsoft.github.io/FLAML/) hyperparameter optimizer!
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I see that categorical features supports a string as param, but I am unsure how to pass monotone_constraints as it requires a list of -1,0,1 specified for each feature. How would we go about setting i…
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I'm trying to create a pipeline with 3 models. I wanted to do try out a POC with a toy dataset simulating 3 classifiers that I've actually trained. So I picked up the iris dataset and broke it into 3 …
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## Description
In LGBM_BoosterFeatureImportance, the return value is simply an array of values. It is not stated in either the C or Python APIs how these are ordered (i.e. are they ordered in the sam…
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This currently fails:
```r
library(tidymodels)
library(bonsai)
library(kernelshap)
library(shapviz)
iris_recipe %
recipe(Sepal.Length ~ .)
parsnip::boost_tree(
mode = "regression"
…