scikit-learn-contrib/hdbscan

Model persistence

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#38 opened on May 28, 2016

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Description

Hello,

I would like to save a trained model using pickle and then use the predict method on new data points to predict the cluster membership probabilities for each new data point. So far, I found only the fit_predict method which is supposed to alter the model.

Do you think this feature (which might be useful for many I guess) is easy to implement?

Thanks a lot!

Contributor guide

Research direction
Examine the fit method to understand which attributes store the cluster model. Implement a predict method that returns cluster membership probabilities. Ensure compatibility with pickle serialization.
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.
2
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
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70