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Hello,
Thanks for very useful and powerful package!
I'm curious that SHAP can support 'sklearn's CalibratedClassifierCV model'.
I made a LightGBM model and calibrated the model.
So my final m…
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https://github.com/h2oai/LightGBM/tree/0558587b53b78b37daf85410a17c69ac476c713c
[lgbm.zip](https://github.com/h2oai/h2o4gpu/files/4292298/lgbm.zip)
sh1ng updated
4 years ago
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### Search before asking
- [X] I searched the [issues](https://github.com/WeBankFinTech/Streamis/issues) and found no similar issues.
### Streamis Component
streamis-job-manager
### What happened…
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![Parallel_Coordinate_lgbm_clf_shap_optuna](https://user-images.githubusercontent.com/69301816/158623162-af8355db-545a-4b1f-97cc-b6529c2b6011.png)
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### Describe the issue
When I create an Onnx Runtime model with `python -m onnxruntime.tools.convert_onnx_models_to_ort` to convert a Light GBM `.onnx` model the resulting `.ort` is 2-3 times larger …
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**Is your feature request related to a problem? Please describe.**
No.
Currently the only **practical** option for feature selection in ML.net is MI. maybe PFI (post fit post transform) and maybe PC…
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```
from sklearn.linear_model import Ridge, Lasso, ElasticNet
from sklearn.ensemble import RandomForestRegressor
from xgboost import XGBRegressor
from lightgbm import LGBMRegressor
from vaex.ml.s…
jahoy updated
2 years ago
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MRE:
```julia
X = DataFrame(A = rand(n), B = categorical(rand(1:10, n)))
y = categorical(rand(0:2, n))
lgbm_model = LGBMClassification(num_class = length(y.pool))
LightGBM.fit!(lgbm_model, Arra…
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Export the transfer boosted model to a lgbm/xgboost to speed up execution.
A potential solution is to use dump_model with virtual file processing.
https://stackoverflow.com/questions/18550127/ho…
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In loading a model I get:
```
rankeval_lgb_model = RTEnsemble('lgb.model', name="LightGBM model", format="LightGBM")
[...]
AssertionError: Decision Tree not supported. RankEval does not support ca…