burning-cost 0.1.0

Meta-package installing the full Burning Cost insurance pricing toolkit

burning-cost

One install. The full Burning Cost toolkit.

pip install burning-cost

That single command installs all 10 flagship libraries for insurance pricing with modern ML.

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The problem this solves

The Burning Cost ecosystem has 10 libraries. They are designed to work together — causal inference to estimate treatment effects, conformal to put intervals on predictions, monitoring to track whether those predictions are still valid in production. But you should not have to remember which libraries to include in a requirements file when setting up a new pricing project or Colab notebook.

burning-cost is a meta-package: it has no code of its own. It is a single dependency that pulls in everything.

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What you get

Library	What it does
insurance-causal	Double Machine Learning for causal treatment effects on observational data
insurance-fairness	Fairness auditing under UK Equality Act 2010
insurance-monitoring	PSI/CSI drift, A/E monitoring, Gini tests, anytime-valid A/B testing
insurance-conformal	Distribution-free prediction intervals with coverage guarantees
insurance-whittaker	Whittaker-Henderson graduation for triangles and rating factors
insurance-telematics	Trip-level feature engineering and behavioural risk scoring
insurance-credibility	Buhlmann-Straub and hierarchical Bayesian credibility models
insurance-frequency-severity	Two-part freq/sev modelling with proper exposure handling
insurance-gam	Generalised Additive Models for interpretable rating factor curves
insurance-governance	FCA/PRA-aligned model risk management documentation

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Usage

You do not import from burning_cost directly. Each library has its own namespace:

from insurance_causal import CausalPricingModel
from insurance_conformal import InsuranceConformalPredictor
from insurance_monitoring import MonitoringReport
from insurance_fairness import FairnessAudit

The meta-package just ensures they are all installed.

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For new pricing projects

Add to your pyproject.toml:

[project]
dependencies = [
    "burning-cost",
]

Or for a requirements file:

burning-cost
catboost
polars

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Resources

• Website: burning-cost.github.io
• Examples: github.com/burning-cost/burning-cost-examples
• 30-minute demo: Colab notebook

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License

MIT