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Hello,
We've recently encountered a problematic edge case with lightgbm.
When simultaneously using bagging and training on a single data point, the model training fails.
Our expectations would …
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### 対象インスタンス
kaggle-instance-01
mol-instance-002
mol-instance-003
mol-instance-004
mol-instance-005
mol-instance-006
mol-instance-007
mol-instance-008
mol-instance-009
mol-instan…
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aorsf is a great addition to bonsai! Any chance of supporting `mtry_prop`?
``` r
library(tidymodels)
library(bonsai)
set.seed(1)
folds
set_mode("regression")
lgbm_wflow
add_model(m…
cgoo4 updated
1 month ago
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Another missed FFI method `LGBM_BoosterRefit`
https://lightgbm.readthedocs.io/en/latest/C-API.html#c.LGBM_BoosterRefit
LightGBM Supports it, MLJ likes to know about methods supporting it, this w…
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Hi,
First of all cool package!
Is it possible to add for support LightGBM?
The issue is that LightGBM doesn't follow sklearn design pattern where e.g. random forest model is iterable and every elem…
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Hi Nathan @spiralulam
I cloned the master branch and did
`pip install .`
then installed glpk and scip via conda as written in the docs. Then I realized I still did not have pyomo or gurobipy, so…
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Check for environmental variables should be after retrieving command line options.
Command line option should be able to overwrite/set IMPROVE_DATA_DIR
Command:
```
python lgbm_preprocess_improv…
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Conformal prediction in MAPIE using existing models (e.g. https://mapie.readthedocs.io/en/latest/examples_regression/1-quickstart/plot_prefit.html#sphx-glr-examples-regression-1-quickstart-plot-prefit…
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You probably know there are various auto-tuning self tuning packages such as AutoXGBoost etc.
It would be awesome if, at some point, there were options to automate HP tuning for LGBM.
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**Describe the bug**
- In Python, we can simply use `daal4py.get_gbt_model_from_lightgbm()` to convert a trained LGBM model to oneDAL, and use `daal4py.gbt_regression_prediction()` to predict.
- May…