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Thank you for your work on this library! I've had success using sequential feature selection and I'm impressed with how thorough the examples and documentation are.
I've been trying to use `Stackin…
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Decision Forests work well on small datasets where cross-validation is commonly used. It would be valuable to easily run cross-validations and report cross-validated related metrics (evaluation metric…
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代码是对科比投篮数据的分析,省略了作者数据可视化的部分。
从数据处理,清洗,到特征选择,到模型选择,行云流水般的潇洒。
```
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
import matplotlib.…
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Apologies if issues is the wrong place for this, but it didn't seem like a usage question...
Recently I was teaching a bunch of clinical scientists how to use scikit-learn by having them build clas…
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### Describe the bug
Using KFold nested runs, within a sweep loop. Runs are grouped with a random id. But after the sweep / all folds are finished, only the most recent KFold run is persistent and …
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Love the script, and loved the article. This is exactly what I've been looking for as I manually made my own random grid search script using Keras a while ago, but have always wanted an implementation…
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### Describe the workflow you want to enable
When using k-fold cross-validation the resulting ROC curves can vary in length if there are a different number of positive and/or negative samples in ea…
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### Describe the workflow you want to enable
It would be nice if we could control how random indices are created with groups in BaggingRegressor. As far as I can tell, BaggingRegressor will select su…
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Dear phscha,
A new version of py_ddspls has bean released (_version 1.1.1_) taking into account deflation and Ridge regularization. Thanks to this new version, I can show you those figures:
![save…
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