enhancement_proposals

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SLEP016: parameter spaces on estimators

9

jnothman

Proposal for an API for callbacks in scikit-learn. The corresponding implementation is being worked in https://github.com/scikit-learn/scikit-learn/pull/27663.

jeremiedbb

SLEP022: Fixing randomness ambiguities

3

**This SLEP is NOT the same as its predecessor https://github.com/scikit-learn/enhancement_proposals/pull/24** Disclaimer: I won't be able to champion this SLEP. I'm opening it here now because I hope it can help...

NicolasHug

SLEP021: Unified API for computing feature importance

2

Reflection around a unified API to compute feature importance in scikit-learn

glemaitre

SLEP005: Resampler API

125

Here is the SLEP regarding the Outlier Rejection API

glemaitre

SLEP 001: why do we need trans_modify?

2

cc @GaelVaroquaux Coming back to SLEP 1 I don't see / remember the need for trans_modify. I'm now not sure why we need this. The motivation the SLEP gives is...

amueller

Mark implemented SLEPS

3

As of today, https://scikit-learn-enhancement-proposals.readthedocs.io/en/latest/index.html lists two SLEPs as accepted: - SLEP009 - SLEP010 It is, however, not clear from the webpage if those SLEPs are implemented. I propose to link...

lorentzenchr

SLEP needed: warm starting with Pipelines, and safer warm starting

2

It should be possible for an estimator to check or propose that a particular parameter change would be appropriate to do with warm start. It should also be possible to...

jnothman

SLEP needed: fit_transform does something other than fit(X).transform(X)

8

This is required for stacking and leave-one-out target encoders if we want a nice design. We already kind of do this in some places but don't have a coherent contract....

amueller

jnothman