flaiR R Package 0.1.7

Release Notes - flaiR v0.1.7

🛠️ Infrastructure

• Improved GitHub Actions workflow with security features
• Added support for both AMD64 and ARM64 architectures
• Improved system dependencies and package versions
• Enhanced startup messages for both Docker and local installations
• Enhanced dependency management

📝 Documentation

• Updated installation guide for different architectures
• Added system requirements and troubleshooting info

For installation instructions and documentation, visit our Quick Start Guide.

flaiR R Package 0.0.7

flaiR 0.0.7 Release Notes

This release brings significant enhancements to streamline natural language processing workflows in R, introducing Docker support and unified function interfaces.

Major Changes

New Features

• Added comprehensive tutorial section for Flair NLP embedding extraction and regression analysis
• Introduced Docker support with RStudio Server integration
• Enhanced documentation with detailed usage examples and best practices

Function Optimizations

• Unified POS tagging with streamlined interface: combined get_pos() and get_pos_batch()
• Consolidated NER functionality into single get_entities() function
• Improved code performance and reliability

Code Cleanup

• Removed legacy sentiment analysis functions
• Simplified API for better usability
• Enhanced error handling and feedback

Docker Installation & Usage

Intel/AMD Processors:

# Pull and run
docker pull ghcr.io/davidycliao/flair:latest
docker run -p 8787:8787 ghcr.io/davidycliao/flair-rstudio:latest

Apple Silicon (M1/M2 Mac):

# Pull and run with platform specification
docker pull --platform linux/amd64 ghcr.io/davidycliao/flair:latest
docker run --platform linux/amd64 -p 8787:8787 ghcr.io/davidycliao/flair:latest

Access RStudio Server:

• Open browser: http://localhost:8787/
• Username: rstudio
• Password: rstudio123

Notes

Release Date: 2024-12-30
Version: 0.0.7
Docker support: Uses Rosetta 2 for M1/M2 Mac compatibility