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Question: how do we ensure compatibility with sklearn `BaseEstimator` and similar classes?
This might not be out of the box, if we check inheritance from `BaseObject` as opposed to availability of …
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Hello there,
I currently am experimenting RandomForests from sklearn into a ZCU102 board. I first tried with the classic HLS/Vivado/Vitis flow but was struggling with the results. I tried using py…
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@amueller asked me to open this issue.
When creating new estimators using any of the base classes, or inheriting from any of the main sklearn classes, there is no complete list (or any list?) of al…
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Include the following metrics:
1. Equalized odds difference: `max(|FPR_unpriv - FPR_priv|, |TPR_unpriv - TPR_priv|)`
2. Generalized equalized odds difference: `max(|GFPR_unpriv - GFPR_priv|, |GTPR_u…
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**Describe the bug**
A clear and concise description of what the bug is.
During step 8 in https://github.com/FeTS-AI/Challenge/tree/main/Task_1 , a sklearn installation error occurred while executin…
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**Is your feature request related to a problem? Please describe.**
The API of this tool should be compatible with sklearn. It would be nice to document how to use these together.
**Describe the so…
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Is there any documentation on the data format or the parameters that you take in?
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I wanted to see if this package played nicely with `skl2onnx`. Are these projects meant to be compatible, or do they use different sets of ops so the following behavior is expected?
```python
#…
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Hello,
I am currently working on a project where I want to fit a model on probabilities and save it to PMML for later use in Java program.
I am training a LightGBMRegressor with the `cross_entro…
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#### Description
Is it possible to use Pipeline with Surprise GridSearchCV? I've tried to create a pipeline with custom Transformers (for transforming data frame into Surprise Dataset), but the steps…