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```python
from sklearn.datasets import load_breast_cancer
from sklearn.linear_model import RidgeClassifierCV
X, y = load_breast_cancer(return_X_y=True)
RidgeClassifierCV(scoring='accuracy').fit(…
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**Submitting author:** @TomKellyGenetics (S. Thomas Kelly)
**Repository:** https://github.com/TomKellyGenetics/graphsim
**Version:** 0.1.2
**Editor:** @majensen
**Reviewers:** @rcannood, @corybrunson
…
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Hi, I encountered some problems when trying to use `multiprocessing` to run multiple auto-sklearn processes in parallel: Each process doesn't behave as when it is started individually. I wonder if you…
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I just found out two exciting and potential ideas to our solution. All information and links are listed as follows.
The first one is [SHapley Additive exPlanations (SHAP)](https://github.com/slundb…
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- I've been using this Bayesian kernel density classifier for a few years and I thought I should move it out from my poorly organized project to this one here.
The prior is $P(y=0)$. I primarily u…
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Dear Villu,
I just tried to play with this package, I want to train my data set from python and make predictions from Android but got some failure message.
Here are my codes:
```Python
from skle…
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Hello,
First of all, thank you for sharing your code.
I have used your method to explain my own network, that is trained on 32x32 image patches to identify breast cancer cells from healthy cells. …
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1.) Is there metalearning for XGboost algorithm?
2.) Why does it give predict_proba of nan using XGboost sometimes causing assertion error of "prediction probability does not sum up to 1!"?
```
…
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We should fix the remaining sphinx warnings here:
https://circleci.com/gh/scikit-learn/scikit-learn/1629
and then make circle IO error if there are any warnings (grep'ing for `WARNINGS` I guess?).
T…