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Right around the time that I stumbled upon dask-searchcv, scikit-learn 0.19 was released where pipelines now support the memory parameter:
http://scikit-learn.org/stable/whats_new.html#version-0-19
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Just by adding two lines of code, we can drastically improve the performance. Intel Extension for SciKit-learn package dynamically patches scikit-learn estimators while improving performance of machin…
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It seems that the performance of Linear Regression is sub-optimal when the number of samples is very large.
[sklearn_benchmarks](https://github.com/mbatoul/sklearn_benchmarks) measures a [speedup …
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related to #13213 and triggered by https://github.com/scikit-learn/scikit-learn/pull/12887#discussion_r291233707
we train trees in parallel in tree ensembles (IIRC), so I'm not sure how much we'd b…
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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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Performance is a crucial part when performing operations ond equistore objects. This is important for repeating tasks during the training of a model but also when an model is applied during a simulati…
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FYI, I created a benchmark suite for `cloudpickle` here: [cloudpickle_benchmarks](https://github.com/pierreglaser/cloudpickle_benchmarks).
This should make us gain visibility when working on perfo…
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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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There are a couple estimators that are importing sklearn directly and sklearn is not a direct dependency of cuML.
A very quick grep shows imports from sklearn in `benchmarks`, `feature_extraction`…