LedgerAnalytics Python

LedgerAnalytics Python is the Python interface to Ledger Investing’s analytics infrastructure. Our analytics API endpoints allow easy access to Ledger’s suite of reliable, scalable and state-of-the-art insurance data science models and data structures. LedgerAnalytics Python efficiently makes HTTP requests to these endpoints, integrating with our lower-level software ecosystem, and handling all the complex dependencies so you don’t have to. Get set up in minutes by requesting an API key, installing the package, and checking out the Quick Start page.

How it works

Ledger’s analytics endpoints provide a secure remote compute service to our modeling infrastructure. There are a variety of plans available for individuals through full data science teams. See the Pricing page for more details.

Attention

LedgerAnalytics is currently in beta phase, and we are currently looking for beta testers! If you work in insurance or insurance data science and would like to try out our models for free, please reach out to analytics@ledgerinvesting.com.

• Installation
• Requesting Access
• Quick Start
• Pricing
• Tutorials
  • Loss Development Modeling
  • Forecast Modeling
• User Guide
  • Overview
  • Modeling rationale and implementation
  • MCMC Autofit
  • Loss Development Models
    • Chain Ladder Model (ChainLadder)
    • General Multivariate Chain Ladder (GMCL)
    • Manual Age-To-Age Factor Model (ManualATA)
    • Meyers Cross Classified Model (MeyersCRC)
    • Traditional Chain Ladder
  • Tail Models
    • Generalized Bondy Model (GeneralizedBondy)
    • Sherman Model (Sherman)
    • Classical Power Transform
  • Forecasting Models
    • Autoregressive Lag 1 Model (AR1)
    • State Space Model (SSM)
    • Generalized Cape Cod Model (TraditionalGCC)
• API documentation
  • AnalyticsClient class
  • Triangle class
  • LedgerModel class
  • TriangleInterface and ModelInterface classes
  • Development model configurations
  • Tail model configurations
  • Forecast model configurations
• Our Software