From 555c29e63c18262a0b3ab9648c9d2e0d56f7a023 Mon Sep 17 00:00:00 2001 From: Matthew Newville Date: Sat, 8 Jul 2023 10:51:20 -0500 Subject: [PATCH] spellchecked whatsnew --- doc/whatsnew.rst | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/doc/whatsnew.rst b/doc/whatsnew.rst index d8400282..8df23dd1 100644 --- a/doc/whatsnew.rst +++ b/doc/whatsnew.rst @@ -20,7 +20,7 @@ New features: - add ``ModelResult.uvars`` output to a ``ModelResult`` after a successful fit that contains ``ufloats`` from the ``uncertainties`` package which can be - used for downstream calculations that propagate the uncertaintes (and + used for downstream calculations that propagate the uncertainties (and correlations) of the variable Parameters. (PR #888) - Outputs of residual functions, including ``Model._residual``, are more @@ -30,9 +30,9 @@ New features: 1-dimensional. (PR #899) - ``Model.fit`` now takes a ``coerce_farray`` option, defaulting to ``True`` to - control whether to input data and independent variable that are "array-like" - are coerced to ndarrays of dataype Float64 or Complex128. If set to - ``False`` then inpendent data that "array-like" (``pandas.Series``, int32 + control whether to input data and independent variables that are "array-like" + are coerced to ndarrays of datatype Float64 or Complex128. If set to + ``False`` then independent data that "array-like" (``pandas.Series``, int32 arrays, etc) will be sent to the model function unaltered. The user may then use other features of these objects, but may also need to explicitly coerce the datatype of the result the change described above about coercing the @@ -41,16 +41,16 @@ New features: Bug fixes/enhancements: - fixed bug in ``Model.make_params()`` for non-composite models that use a - prefx (Discussion #892; Issue #893; PR #895) + prefix (Discussion #892; Issue #893; PR #895) - fixed bug with aborted fits for several methods having incorrect or invalid fit statistics. (Discussion #894; Issue #896; PR #897) -- ``Model.eval_uncertainty`` now correctly calclutes complex (rea/imaginary pairs) +- ``Model.eval_uncertainty`` now correctly calculates complex (real/imaginary pairs) uncertainties for Models that generate complex results. (Issue #900; PR #901) - ``Model.eval`` now returns and array-like value. This adds to the coercion - features, and fixes a bug for composite models that return lists (Issue #875; PR #901) + features above and fixes a bug for composite models that return lists (Issue #875; PR #901) - the HTML representation for a ``ModelResult`` or ``MinimizerResult`` are improved, and create fewer entries in the Table of Contents for Jupyter lab.