run-pipeline
CommunityRun Snakemake pipelines for datasets and models.
AuthorRobertFrenken
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Orchestrates end-to-end Snakemake-based KD-GAT workflows to run dataset- and model-configuration pipelines, simplifying experiment orchestration.
Core Features & Use Cases
- Parse and validate the dataset and optional target from ARGUMENTS and apply the appropriate pipeline configuration.
- Verify dataset existence, preview the workflow with a dry run, and determine the expected outputs.
- Submit to SLURM with a dedicated profile, while capturing SLURM logs and MLflow tracking for experiment provenance.
- Support common targets such as teacher_fusion, student_fusion, student_fusion_kd, and the per-dataset targets (teachers, students_nokd, students) across all datasets.
Quick Start
Run the KD-GAT Snakemake pipeline for dataset hcrl_sa with target teachers.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: run-pipeline Download link: https://github.com/RobertFrenken/DQN-Fusion/archive/main.zip#run-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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