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ciu 0.6.0
- Extensive tests on Intermediate Concepts, which are also integrated
into the new README.Rmd file (and README) as well as in test scripts
TestCases.R and TestCases_NoObject.R on Github.
- Fixed inverted axis bug in plot in
plot.ciu.3D.
- Integrated support for mlr3. Only tested with “classif.rpart” model
though because other tested models (xgboost, nnet, …) don’t like R types
and no need/time to dive into mlr3 for the moment. To fix in the future
in case bugs are discovered.
- Added parameter “plot.mode” to “ciu.ggplot.col” function, which
allows for value “overlap” that plots CI as a bar and then CU as another
bar over it, scaled into CI bar. Colour of CU bar can either be fixed
(dark green by default) or set to NULL, which then uses the
green-yellow-red color scale (unless those colours are changed by the
function parameters).
- Removed parameter for min/max values of contextual influence because
the range of contextual influence is (and should be) always one (1)
based on the mathematical constructs.
- Added new method “ggplot.ciu” to ciu.new for plotting input/output
graphs with ggplot. Identical to old plot.ciu, except that 1) ggplot
offers some advantages, notably what comes to figure scaling, 2) added
possibility to include CIU visualisation (cmin, cmax, neutral) by
setting “illustrate.CIU=TRUE”.
- Added new method “influence” to ciu.new for getting numerical
contextual influence (rather than just seeing them in plots). TO-DO: add
corresponding function to “ciu.R”.
- Corrected axis in
plot.ciu.3D.
ciu 0.5.0
- Textual explanations have been implemented with function
“ciu.textual”.
- Implemented “meta.explain” method, which returns a self-contained
“ciu.meta.result” object with CIU results for a given instance. This
mainly makes it possible to visualize exactly the same CIU result in
different ways. Before this (and still if no “ciu.meta” parameter is
given), every visualization method ran “explain” again, so CIU results
could differ somewhat between different runs.
- Added parameters “use.influence” and “influence.minmax” to
“ggplot.col” and “barplot.ciu” functions/methods, which produces a
LIME/SHAP/etc-like plot where “influence = (influence.max -
influence.min)*ci(cu-neutral.CU)“, bars go either right or left of zero
and there are only two colours.
- Added support for factor-type inputs to method “$plot.ciu”.
- Created new “class” called “ciu”, which is just a list object with
the “instance variables” of a CIU object. This makes it possible to
create plot functions that are not methods of CIU but rather take a
“ciu” object as their first parameter. The main reason for doing this
modification is that CIU objects seem to use much more memory than a
simple data-based “ciu” object. The documentation and package tools in R
are also not too aware about “inner functions” (methods), which is an
inconvenient. Finally, the plan was indeed to go for this approach in
any case because increasing the code length of CIU was not desirable in
the long run. The way in which it is implemented now allows functions
and methods to be used interchangeably in any case.
ciu 0.1.0
- First version of ciu published at CRAN
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.