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Releases: CamDavidsonPilon/lifelines

v0.30.0

29 Oct 12:00
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0.30.0 - 2024-10-29

  • update dependencies (numpy >= 1.14.0)
  • fix for decimal kwarg not working in StatisticalResult

v0.29.0

26 Jun 15:36
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0.29.0 - 2024-06-25

  • update dependencies (pandas >= 2.1)
  • update dependencies (scipy >= 1.7)

v0.28.0

03 Jan 22:00
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0.28.0 - 2023-01-03

  • Fixes bins that are far into the future with using survival_table_from_events, see #1587
  • Removed sklean_adaptor. It was a terrible hack, and causing more confusion and support debt than I want. This cleans up our API and simplifies the library. ✨ There's no replacement, and I doubt I'll introduce one ✨
  • Fix pandas>=2.0 compatibility.
  • Fix overflow issue in NelsonAalenfitter, #1585
  • officially drop support for < py3.9
  • update some dependencies (pandas >= 1.2)

v0.27.8

13 Sep 15:30
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0.27.8 - 2023-09-13

  • Estimators now have .label property
  • Fixed some deprecation warnings
  • Pinned to numpy < 2.0

v0.27.7

01 May 16:15
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0.27.7 - 2023-05-01

  • check_assumptions(show_plots=True) will always show plots, regardless of test outcome. Thanks @nomennominatur!
  • lifelines.datasets is now importable.

v0.27.5

27 Apr 12:51
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0.27.5 - 2023-04-27

  • Support pandas 2.0+

v0.27.4

17 Nov 04:06
d280440
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0.27.4 - 2022-11-16

New features
  • Support py3.11

v0.27.3

25 Sep 22:12
aa019b1
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0.27.3

New features
  • Fixed and silenced a lot of warnings
Bug fixes
  • Migrate to newer Pandas Styler for to_latex
API Changes
  • There were way too many functions on the summary objects, so I've hidden to_* on them.

v0.27.2

08 Sep 01:37
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0.27.2 - 2022-09-07

Bug fixes
  • Fixed issue in add_at_risk_table when there were very late entries.

v0.27.1

26 Jun 02:12
f842388
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0.27.1 - 2022-03-15

New features
  • all fit_ methods now accept a fit_options dict that allows one to pass kwargs to the underlying fitting algorithm.
API Changes
  • step_size is removed from Cox models fit. See fit_options above.
Bug fixes
  • fixed Cox models when "trival" matrix was passed in (one with no covariates)