workspace-v1/projects/trading-platform/apps/ml-engine/environment.yml
Adrian Flores Cortes 967ab360bb Initial commit: Workspace v1 with 3-layer architecture
Structure:
- control-plane/: Registries, SIMCO directives, CI/CD templates
- projects/: Gamilit, ERP-Suite, Trading-Platform, Betting-Analytics
- shared/: Libs catalog, knowledge-base

Key features:
- Centralized port, domain, database, and service registries
- 23 SIMCO directives + 6 fundamental principles
- NEXUS agent profiles with delegation rules
- Validation scripts for workspace integrity
- Dockerfiles for all services
- Path aliases for quick reference

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 00:35:19 -06:00

55 lines
1.1 KiB
YAML

name: orbiquant-ml-engine
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- python=3.11
- pip>=23.0
# Core ML and Deep Learning
- pytorch>=2.0.0
- numpy>=1.24.0
- pandas>=2.0.0
- scikit-learn>=1.3.0
# API Framework
- fastapi>=0.104.0
- uvicorn>=0.24.0
# Database
- sqlalchemy>=2.0.0
- redis-py>=5.0.0
# Data visualization (for development)
- matplotlib>=3.7.0
- seaborn>=0.12.0
# Development and code quality
- pytest>=7.4.0
- pytest-asyncio>=0.21.0
- pytest-cov>=4.1.0
- black>=23.0.0
- isort>=5.12.0
- flake8>=6.1.0
- mypy>=1.5.0
- ipython>=8.0.0
- jupyter>=1.0.0
# Additional dependencies via pip
- pip:
- pydantic>=2.0.0
- pydantic-settings>=2.0.0
- psycopg2-binary>=2.9.0
- aiohttp>=3.9.0
- requests>=2.31.0
- xgboost>=2.0.0
- joblib>=1.3.0
- ta>=0.11.0
- loguru>=0.7.0
- pyyaml>=6.0.0
- python-dotenv>=1.0.0
# TA-Lib requires system installation first:
# conda install -c conda-forge ta-lib
# or from source with proper dependencies