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docs/Changelog.rst

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Changelog
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---------
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0.24.2 - Unreleased
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^^^^^^^^^^^^^^^^^^^
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Bug fixes
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'''''''''
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- Fixed bug when no covariates were passed into ``CoxPHFitter``. See
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#975
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- Fixed error in ``StatisticalResult`` where the test name was not
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displayed correctly.
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- Fixed a keyword bug in ``plot_covariate_groups`` for parametric
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models.
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0.24.1 - 2020-03-05
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^^^^^^^^^^^^^^^^^^^
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- Stability improvements for GeneralizedGammaRegressionFitter and
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CoxPHFitter with spline estimation.
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.. _bug-fixes-1:
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Bug fixes
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'''''''''
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^^^^^^^^^^^^^^^^^^^
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This version and future versions of lifelines no longer support py35.
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Pandas 1.0 is fully supported, along with previous version. Minimum
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Scipy has been bumped to 1.2.0
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Pandas 1.0 is fully supported, along with previous versions. Minimum
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Scipy has been bumped to 1.2.0.
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- Univariate parametric models have a ``plot_density``,
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``density_at_times``, and property ``density_`` that computes the
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probability density function estimates.
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- new dataset for interval regression involving C. Botulinum.
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- new dataset for interval regression involving *C. Botulinum*.
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- new ``lifelines.fitters.mixins.ProportionalHazardMixin`` that
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implements proportional hazard checks.
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to ``scoring_method``.
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- removed ``_score_`` and ``path`` from Cox model.
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.. _bug-fixes-2:
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Bug fixes
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'''''''''
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0.23.9 - 2020-01-28
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^^^^^^^^^^^^^^^^^^^
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'''''''''
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0.23.8 - 2020-01-21
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^^^^^^^^^^^^^^^^^^^
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'''''''''
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- New lymph node cancer dataset, originally from *H.F. for the German
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Breast Cancer Study Group (GBSG) (1994)*
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'''''''''
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- ``StatisticalResult.print_summary`` supports html output.
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'''''''''
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- performance improvements on regression models’ preprocessing. Should
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make datasets with high number of columns more performant.
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.. _bug-fixes-7:
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'''''''''
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- performance improvements for ``CoxPHFitter`` - up to 30% performance
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improvements for some datasets.
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'''''''''
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Jupyter notebooks!
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- silenced some warnings.
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'''''''''
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The tests were re-factored to be shipped with the package. Let me know
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if this causes problems.
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'''''''''
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0.22.9 - 2019-10-30
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^^^^^^^^^^^^^^^^^^^
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'''''''''
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- ``conditional_after`` now available in ``CoxPHFitter.predict_median``
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- Suppressed some unimportant warnings.
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'''''''''
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- new ``ApproximationWarning`` to tell you if the package is making an
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potentially mislead approximation.
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- ``conditional_after`` works for ``CoxPHFitter`` prediction models 😅
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'''''''''
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weights.
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- Better support for predicting on Pandas Series
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'''''''''
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- ``KaplanMeierFitter.survival_function_``\ ‘s’ index is no longer
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gains only in Cox models, and only a small fraction of the API was
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- lifelines is now compatible with scipy>=1.3.0
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'''''''''
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could set ``fit_intercept`` to False and not have to set
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- ``CoxPHFitter.check_assumptions`` now accepts a ``columns`` parameter
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- removing ``_compute_likelihood_ratio_test`` on regression models. Use
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- output of ``survival_table_from_events`` when collapsing rows to
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- Pandas is now correctly pinned to >= 0.23.0. This was always the
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'''''''''
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@vpolimenov!
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- The ``C`` column in ``load_lcd`` dataset is renamed to ``E``.
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transposed now (previous parameters where columns, now parameters are
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'''''''''
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0.19.4 - 2019-02-25
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^^^^^^^^^^^^^^^^^^^
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'''''''''
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'''''''''
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means that the *default* for alpha is set to 0.05 in the latest
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'''''''''

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