Ml Pipeline Starter

Build and deploy production ML pipelines with data processing, model training, evaluation, and deployment using TensorFlow, PyTorch, or Scikit-learn.

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

bash

# 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