chainladder 0.7.2

Bug fixes:

• Index slicing not compatible with pandas #84 fixed
• arithmetic fail #68 - Substantial reworking of how arithmetic works.
• JSON IO on sub-triangles now works
• predict and fit_predict methods added to all IBNR models and now function as expected

Enhancements:

• Allow DevelopmentConstant to take on more than one set of patterns by passing in a callable
• MunichAdjustmentAllow ` does not work when P/I or I/P ratios cannot be calculated. You can now optionally back-fill zero values with expectaton from simple chainladder so that Munich can be performed on sparser triangles.

Refactors:

• Performance optimized several triangle functions including slicing and val_to_dev
• Reduced footprint of ldf_, sigma, and std_err_ triangles
• Standardized IBNR model methods
• Changed cdf_, full_triangle_, full_expectation_, ibnr_ to function-based properties instead of in-memory objects to reduce memory footprint