scientific-automl
CommunityStreamline AutoML model selection and optimization.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Automates the creation and evaluation of AutoML pipelines to quickly identify strong models and hyperparameters across datasets.
Core Features & Use Cases
- Hyperparameter optimization with Optuna, FLAML, and Auto-sklearn to find high-performing configurations.
- Automated model selection and benchmarking across multiple algorithms (RF, GBM, SVM) with cross-validation and reporting.
- Feature engineering automation and NAS integration to improve model performance on diverse data.
Quick Start
Run an end-to-end AutoML workflow on your dataset to optimize hyperparameters, compare models, and generate a report.
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: scientific-automl Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-automl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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