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Actually, i was importing lazy predict version 0.2.12 and sklearn==1.5.1
i got this issue
> ---------------------------------------------------------------------------
TypeError …
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https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html
**Why?**
Why normalize the training data? To check if that would improve the [accuracy score](pmml/step3_pred…
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rsmtools has many large dependencies. Many of them are not needed at inference time.
It would be nice to either:
1. Use the pip compatible install options like `pip install "rsmtools[full]"` to …
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importError Traceback (most recent call last)
Cell In[8], line 5
2 from sklearn.model_selection import train_test_split
3 from sklearn.metrics import accur…
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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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To make this maximally compatible with scikit-learn, we should have the estimators inherit from `sklearn.base`, and then run sklearn's `check_estimator` on each as part of the test suite.
The only th…
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**Describe the issue**:
[OneHotEncoding](https://github.com/dask/dask-ml/blob/ba2024d68557fade43f4dc2fa369445d01629923/dask_ml/preprocessing/_encoders.py#L16) defaults to sets `catagories_` to a nump…
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# API
- [sklearn.datasets](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.datasets)
API | Description
-- | --
datasets.load_boston([return_X_y]) | 波士顿房屋价格数据集 (regression).…
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- important to think about modularity of the code
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It seems that sklearn does not train the parameters.
Maybe use pytorch instead?