# TinyTorch Module Metadata
# Essential system information for CLI tools and build systems

name: "13_mlops"
title: "MLOps - Production ML Systems"
description: "Complete MLOps pipeline for production deployment, monitoring, and continuous learning"

# Dependencies - Used by CLI for module ordering and prerequisites
dependencies:
  prerequisites: [
    "00_setup", "01_tensor", "02_activations", "03_layers", 
    "04_networks", "05_cnn", "06_dataloader", "07_autograd", 
    "08_optimizers", "09_training", "10_compression", "11_kernels",
    "12_benchmarking"
  ]
  enables: []

# Package Export - What gets built into tinytorch package
exports_to: "tinytorch.core.mlops"

# File Structure - What files exist in this module
files:
  dev_file: "mlops_dev.py"
  readme: "README.md"
  tests: "inline"

# Educational Metadata
difficulty: "⭐⭐⭐⭐"
time_estimate: "8-10 hours"

# Components - What's implemented in this module
components:
  - "ModelMonitor"
  - "DriftDetector"
  - "RetrainingTrigger"
  - "MLOpsPipeline" 