ML Pipeline Starter

Build production ML pipelines.

Features

Data Processing

• Data validation
• Feature engineering
• Data augmentation

Model Training

• Hyperparameter tuning
• Cross-validation
• Model versioning

Evaluation

• Metrics tracking
• Bias detection
• Performance monitoring

Deployment

• Model serving
• A/B testing
• Rollback support

Quick Start

# Create pipeline
./ml-pipeline.sh create my-model

# Train
./ml-pipeline.sh train my-model

# Deploy
./ml-pipeline.sh deploy my-model production

Frameworks

• TensorFlow
• PyTorch
• Scikit-learn

Requirements

• Python 3.8+
• Docker

Author

Sunshine-del-ux

这个 Skill 的功能描述很全面，看起来很专业，但实际上只有两个文档文件，没有可运行的脚本或代码。这意味着你下载后无法直接使用它来构建 ML 管道。需要开发者补充完整的代码实现才能真正发挥作用。