JuliaAI / JuliaAI/DecisionTree.jl

Feature request

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Dominant language
Julia
Stars
364
Forks
100
PR merge metrics
No merged PRs in 30d

Description

Hi,

I have been using this package with very large datasets and I very much like it. When saving the models for the deployment the final file (i.e. the model) is extremely large (e.g. 6 GB) even with the compression provided by JLD2.

I was wondering if there is another way to save the models into smaller files or only saving the model without the data itself.

Thank you in advance.

Cheers,
Saer

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Research direction

The issue does not name files, tests, or an entry point. Start by tracing how models are saved with JLD2 and whether the serialized output includes training data; done would require a defined smaller or model-only save approach, with tests or documentation showing its behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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