chainladder v0.8.16

What's Changed

• Cas webinar by @kennethshsu in #426
• Cas webinar by @kennethshsu in #427
• Added .to_frame() under pandas operation, and improved variable names… by @kennethshsu in #428
• Cas webinar by @kennethshsu in #429
• Update references.bib by @MatthewCaseres in #430
• fix for #409 by @jbogaardt in #432
• fix for [BUG] #411 by @jbogaardt in #433
• Update pytest_upstream_nightly.yml by @jbogaardt in #435
• Update pytest.yml by @jbogaardt in #436
• add max version of pandas in requirements.txt by @andrejakobsen in #441
• #438 bug by @kennethshsu in #440

New Contributors

• @MatthewCaseres made their first contribution in #430
• @andrejakobsen made their first contribution in #441

Full Changelog: v0.8.15...v0.8.16

Chainladder 0.8.15

What's Changed

• revamping drop functions by @henrydingliu in #385
• Fixing link_ratio by @henrydingliu in #387
• adding some tests for the revamped drop function by @henrydingliu in #388
• Adding test wth CL and BF by @henrydingliu in #391
• Henrydingliu enhancement 1 2022 11 29 by @henrydingliu in #392
• w_v2_ and pipeline in Development by @henrydingliu in #394
• next step for #376 by @henrydingliu in #397
• consolidating weighted regression factor fit by @henrydingliu in #398
• cum_zeta_ by @henrydingliu in #401
• Expanded mappings to include semester sampling by @A108669 in #403
• fix one more ref to semiannual by @wleescor in #410
• TailCurve argument validation by @genedan in #414
• chore(version): specify version of numba by @pafechet in #418
• Add Friedland Sample - Auto BI Insurer (Expected Loss Method) by @genedan in #419
• Cas webinar by @kennethshsu in #424
• [BUG] Argument validation needed for TailCurve #413
• [BUG] origin_as_datetime does nothing #407
• [BUG] CapeCod predict at different index grain #400
• [BUG] Chainladder doesn't coerce valuation triangle correctly #399

New Contributors

• @A108669 made their first contribution in #403
• @pafechet made their first contribution in #418

Full Changelog: v0.8.14...v0.8.15

chainladder 0.8.14

New Contributors

A big thank you to our new contributors this release

• @henrydingliu made their first contribution in #349
• @wleescor made their first contribution in #384

Bug Fixes

• Updating drop high logic by @henrydingliu in #349
• Adding std_residuals_ to the transformer by @henrydingliu in #352
• add semi-annual key by @wleescor in #384
• addressed #321 by @kennethshsu in #368
• Adding 4D support to drop_hi/lo by @henrydingliu in #370
• Corrected number of days in a year to 365.25 by @kennethshsu in #371
• #294 and #313 are fixed here by @kennethshsu in #373
• adding 4D support for drop_above/below by @henrydingliu in #375
• QoL improvement by @henrydingliu in #381
• #330 Fix for full triangle per suggestion by @henrydingliu
• #367 Triangle instatiation issues @jbogaardt

Documentation

• Documentation by @kennethshsu in #311
• Annual meeting prep by @kennethshsu in #335
• Annual meeting prep by @kennethshsu in #336
• Annual meeting prep by @kennethshsu in #337
• addressed #319 and #333 by @kennethshsu in #338
• Annual meeting prep by @kennethshsu in #339
• Annual meeting prep by @kennethshsu in #350
• Fixed paths by @kennethshsu in #351
• Annual meeting prep by @kennethshsu in #355
• Annual meeting prep by @kennethshsu in #358
• Annual meeting prep by @kennethshsu in #360
• Found some typos by @kennethshsu in #361
• Corrected some more typos by @kennethshsu in #363
• Fixed readthedocs build #374 @jbogaardt

Enhancements

• Mack correlation test enhancements by @genedan in #342
• Refine Mack DevelopmentCorrelation class by @genedan in #344
• Adding Friedland & Mack 97 data sets by @genedan in #347
• Add Friedland WC Self-Insurer data set. by @genedan in #348
• Add Friedland gl and xyz disposal rate data sets. by @genedan in #353
• Add Friedland US Industry Auto - case outstanding technique data set. by @genedan in #357
• Add Friedland XYZ Insurer - case outstanding technique data set. by @genedan in #359
• Add 3 datasets by @genedan in #362
• Add 3 datasets: by @genedan in #366

Full Changelog: v0.8.13...v0.8.14

chainladder 0.8.13

The majority of this release was written by @kennethshsu and contains a first-time contribution from @genedan. Thank you!

Bug Fixes:

• #270 Fixed an issue affecting triangle instantiation
• #251 Fixed a bug in predict method that failed to honor development ages appropriatly
• #274 Addressed a pandas deprecation notice in the heatmap method.
• #258 Addressed silent error when predicting on a Triangle that is larger than the underlying model.
• #288 Addressed Bug in to_frame method
• #283 Addressed Bug in the calculation of LDFs in CaseOutstanding

Enhancements

• #293 Expanded functionality drop_high and drop_low arguments of Development estimator.
• #298, #299, #304, #305, #308 Documentation clean-up.

chainladder 0.8.12

Bug Fixes:

• #254 Fixed an undesired mutation when using cl.concat
• #257 to_frame bug fix on empty triangles
• #248 to_frame bug and deprecation notice in origin_as_datetime argument.
• #250 Bug fix in triangle initialization
• #258 Addressed silent error when predicting on a Triangle that is larger than the underlying model.
• #261 Addressed a pandas>1.4.0 bug

Enhancements

Introduced ExpectedLoss method

• #242 Added threshold based dropping of link ratios to Development estimator
• #158 Triangles can now be instantiated with only one data point.
• #250 python 3.10 support
• #260 fillna method added to Triangle class that supports filling with constants or other Triangles.
• Support for 'H' or 'S' when using half year grain

chainladder 0.8.11-beta

v0.8.11-beta

prep 0.8.11 release

chainladder 0.8.11-alpha

Bug Fixes:

• #239 val_to_dev bug fixed
• #254 Fixed an undesired mutation when using cl.concat
• #257 to_frame bug fix on empty triangles
• #248 to_frame bug and deprecation notice in origin_as_datetime argument.
• #250 Bug fix in triangle initialization
• #258 Addressed silent error when predicting on a Triangle that is larger than the underlying model.
• #261 Addressed a pandas>1.4.0 bug

Enhancements

• Introduced ExpectedLoss method
• #242 Added threshold based dropping of link ratios to Development estimator
• #158 Triangles can now be instantiated with only one data point.
• #250 python 3.10 support
• #260 fillna method added to Triangle class that supports filling with constants or other Triangles.

chainladder 0.8.10

Enhancements

• #225 - Added support for mid-year triangles
• Remove xlcompose as a dependency
• #233 and #219 - Added more explicit warning when is_cumulative property of triangle is not set.
• #192 Expanded drop_high and drop_low functionality to include integers and variable length lists. PR courtesy of @kennethshsu.

Bug fixes

• #234 Coerce MackChainladder to zero variance when inbr_ and cdf_ are 0.
• Fix bug in BarnettZehnwirth.transform that was previously not applying the log-transform correctly

chainladder 0.8.9

Enhancements

• #198 Added projection_period to all Tail estimators. This allows for analyzing run-off beyond a one year time horizon.
• #214 A refreshed docs theme using jupyter-book!
• #200 Added more flexibility to TailCurve.fit_period to allow boolean lists - similar to Development.drop_high
• @kennethshsu further improved tutorials

Bug Fixes

• #210 Fixed regression in triangle instantiation where grain=='S' is being interpreted as seconds and not semesters.
• #213 Fixed an unintended Triangle mutation when reassigning columns on a sparse backend.
• #221 Fixed origin/development broadcasting issue that was causing silent bugs in calculations on malformed triangles.

chainladder 0.8.8

Enhancements

• #140 Improved test coverage
• #126 Relaxed BootstrapODPSample column restriction
• #207 Improved tutorials

Bug Fixes

• #204 Fixed regression in grain
• #203 Fixed regression in slice
• Fixed regression in Benktander index broadcasting
• #205 Fixed CI/CD build