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Can someone provide a sample config file for gradient boosting? or better yet a test set that works?
I’ve been trying to run gradient boosting and think that either:
1) I don’t have it configured pro…
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Hi,
I am a new user of Catboost and I was wondering if it is possible to implement model tree in catboost (or in gradient boosting regression trees in general).
My feeling is that by using linear …
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Again, still digesting the code, but maybe you thought about this. Can ordered_gradients be avoided? Can we reorder in place in the gradient array, the tree grower can put it back in place at the end …
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Arch Linux, kernel 6.4.2-arch1-1, python 3.11.3 (GCC 13.1.1), pip 23.1.2
Thank you for any help!
I followed these steps:
```
python -m venv .env
pip install ffmpeg
pip install torch torchvis…
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Hi,
Tree SHAP seems to work great on boosted tree models like XGBoost. But after reading the paper on [Consistent feature attribution for tree ensembles](https://arxiv.org/abs/1706.06060) I'm wonde…
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Comment with results for each run.
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I am training the resnet34 from scratch on CIFAR-10 dataset, also changed some params in train.py as well.
```yaml
# --config.yaml--
# general
seed: 42
workers: 4
dataset_dir: "./datasets"
…
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### Decision Tree
- feature pre-processing의 영향을 덜 받음
- **overfitting 위험**. 자유도를 제한할 필요성
- 축애 수직하게 계단 모양의 경계로 분할되므로 **데이터 방향에 민감**
- PCA로 보완 가능
- scikit-learn.DecisionTreeClassifier는 각 node에서 …
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Hello everyone,
I learned 10 regression trees from the same IMDB dataset provided in the Wiki. I set the target predicate as workedunder and allowed recursion.
The algorithm was able to learn, h…
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How can I encapsulate the preprocessing process into the scoring process as well when registering python models with pzmm? In the pzmm_binary_classification_model_import.ipynb example, only the decisi…