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Thank you for this great package! I was trying to replicate what was proposed on the GitHub page, that is:
```
import xgboost
import shap
# train an XGBoost model
X, y = shap.datasets.boston()
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ghost updated
1 month ago
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## I'm submitting a...
[ ] Regression (a behavior that used to work and stopped working in a new release)
[ ] Bug report
[*] Feature request
[ ] Documentation issue or request
[ ] Suppo…
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/home/lsw/miniconda3/envs/SOTS/bin/python /home/lsw/SOT/SOTS/tracking/test_sot.py
model backbone: ResNet50Dilated
model neck: ShrinkChannelS3S4
model head: Learn2Match
model build done!
SiamInfer…
wyl12 updated
3 months ago
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### Is your feature request related to a problem?
The way warnings are raised is not consistent throughout the codebase.
Some things I noticed:
1. `_elastic_net_regression.py` uses both `from w…
zzril updated
4 months ago
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Hello everyone,
I hope you can provide some insights on a matter we've been grappling with. We've been working with the pretrained Faster R-CNN model provided in this repository, attempting to fine…
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Is there a benefit of fine tuning a bert model over news dataset, rather than directly using distilbert-base-nli-mean-tokens for news sentiment classification ?
Can someone share any research paper /…
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Hello, I'm trying to reproduce the test from a closed issue.
When I try to run the following:
```
python src/main.py --output_dir experiments --comment "pretraining through imputation" --name pretr…
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Hi! Love the package.
Currently I am trying to convert a simple StandardScaler to ONNX using this package, but I also require the inverse transform (I recon these should be 2 seperate .onnx models)…
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[flytekit's dataclass transformer](https://github.com/flyteorg/flytekit/blame/e107994073c42948554cfdab6f770efdf9df9b07/flytekit/core/type_engine.py#L284-L762) requires JSON-serializable dataclasses ([…