tommyod/KDEpy

Integration with sklearn

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#29 opened on Aug 6, 2019

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enhancementhelp wanted

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Description

Hi

Do you plan to add support for integration with sklearn, to use e.g. cross-validation for bandwidth selection? Would be great to do something like this with KDEpy.

This would need the estimator.get_params(), etc. functions required from sklearn.

Ideally there would also be a estimator.score() function.

Contributor guide

Research direction
Study the scikit learn estimator API (get params, set params, score) and examine how other libraries integrate with sklearn. Then identify which methods need to be implemented in KDEpy's classes to enable cross validation and other sklearn utilities.
Tech stack
python
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonscikit learn
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
55