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@scikit-learn/core-devs are you still ok to repurpose this repo (inactive since 2013) to host results from regular runs of the new asv benchmark suite as discussed in a previous core dev meeting ?
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### Describe the workflow you want to enable
For multioutput problems, all-zero label columns (or in general constant label columns) can sometimes happen, for example when using cross-validation. Mos…
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### Describe the workflow you want to enable
I am part of the @neurodata team. We are proposing to add a cythonized module that allows for building oblique trees.
Oblique trees, otherwise known …
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# Context
Pairwise distance computation is an essential part of many estimators in scikit-learn, and can take up a significant portion of run time in certain workflows. I believe that we may achieve …
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It'd be nice to have some benchmarks for how our different hyperparameter optimizers perform. There are a few comparisons that would be useful
1. dask_ml's drop-in replacements for GridSearchCV & R…
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Request for project inclusion in scikit-learn-contrib
* Project name: rapid-outlier-detection
* Project description: Rapid Outlier Detection via Sampling
* Authors: Orges Leka
* Current reposito…
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CC @jnothman @ogrisel @renatopp @pgijsbers
Dear all,
I'm opening this issue to start the discussion on the future of liac-arff as the reason why I started working on this project is soon going a…
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@gregcaporaso, @audy and had a call earlier today. Just putting down some notes from the call:
- targeting marker gene
- primary goal is a scikit-learn implementation of the Naive Bayes classifier use…
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Today, Machine learning applications are important use-cases of Python.
I haven't prepared concrete benchmark implementations yet, but I would like to suggest guidelines for machine learning benchmar…
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When using `SVC(probability=True)` ~~or `SVR(probability=True)`~~ the output of `predict_proba` will not necessarily be consistent with `predict`, in the sense that,
```py
np.argmax(self.predict_pro…