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decompbench-method-selector
alirezaaminzadeh/decompbench-method-selector
decompbench-method-selector is a machine learning model from alirezaaminzadeh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for decompbench. The card lists the license as mit.
Feature-calibrated method selector for large-scale optimization decomposition.
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At a glance
- Library
- decompbench
- License
- mit
- Model type
- decomposition-method-selector
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026
- SHA
- 7fdbe4a7
Model card
From the Hugging Face model README
DecompBench Method Selector
Feature-calibrated method selector for large-scale optimization decomposition.
Intended Use
Recommends a decomposition strategy (Benders, Dantzig-Wolfe, Column Generation, Lagrangian, Progressive Hedging, ADMM) from instance structure features.
Input Features
n_master_variables,n_sub_variables,n_coupling_constraintsn_scenarios,block_angularity,constraint_density,decomposability_score
Artifacts
selector_weights.json— scoring weightsconfig.json— model metadata
Limitations
Calibrated on synthetic instances. Validate on production models before deployment.
Space
https://huggingface.co/spaces/alirezaaminzadeh/large-scale-optimization-decomposition-lab
- Library
- decompbench
- Type
- decomposition-method-selector
- License
- mit
- Languages
- en
- Created
- Aug 2, 2026
- Updated
- Aug 2, 2026