chainladder 0.2.1

What's New

• Modifed core.Triangle to use parameter index in place of keys and columns in place of values. This is done to promote consistency with the pandas API as well as allowing for values property to be used in extended functionality of the Triangle
• Added warnings to development.Development to warn on failure of Mack Standard Error when only one period is used in the estimation of LDFs
• Added workflow.Pipelne and workflow.GridSearch for scikit-learnesque scenario testing.

API Overhaul

Significantly overhauled API to be more consistent with pandas as scikit-learn.

Boostrap

v0.1.7

Update setup.py

Bootstrap Chainladder functionality

v0.1.6

Update setup.py

Munich Chainladder

Added Munich Chainladder functionality.

Minor bug fix

v0.1.4

Update setup.py

minor bug fixes

v0.1.3

Update setup.py

Initial release of chainladder

Initial release with appropriate setup.py configuration

Initial release of chainladder

This release includes the Mack Chainladder model.