ml-lab-sklearn
CommunityEnable quick scikit-learn model training on ingested data.
Authorbbartling
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of integrating supervised machine learning models into data workflows, facilitating rapid experimentation and deployment.
Core Features & Use Cases
- Model Training Hooks: Adds optional integrations to trigger scikit-learn model training on site data.
- Application in Data Pipelines: Enables users to easily develop and test predictive models directly on collected datasets.
- Use Case: Imagine a data scientist wants to train a classifier on site data with a simple API call; they can do so seamlessly within existing workflows using this Skill.
Quick Start
Use the /ml/train endpoint with the site_id, features, and target parameters to train models directly from your ingested data.
Dependency Matrix
Required Modules
scikit-learn
Components
references
💻 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: ml-lab-sklearn Download link: https://github.com/bbartling/open-fdd/archive/main.zip#ml-lab-sklearn Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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