| Name : R-localICE
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| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.13.5
| Date : 2024-06-14 11:53:53
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| Group : Development/Libraries/Other
| Source RPM : R-localICE-0.1.1-lp153.13.5.src.rpm
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| Size : 0.03 MB
| |
| Packager : (none)
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| Summary : Local Individual Conditional Expectation
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Description :
Local Individual Conditional Expectation (\'localICE\') is a local
explanation approach from the field of eXplainable Artificial
Intelligence (XAI). localICE is a model-agnostic XAI approach which
provides three-dimensional local explanations for particular data
instances. The approach is proposed in the master thesis of Martin
Walter as an extension to ICE (see Reference). The three dimensions are
the two features at the horizontal and vertical axes as well as the
target represented by different colors. The approach is applicable for
classification and regression problems to explain interactions of two
features towards the target. For classification models, the number of
classes can be more than two and each class is added as a different
color to the plot. The given instance is added to the plot as two
dotted lines according to the feature values. The localICE-package can
explain features of type factor and numeric of any machine learning
model. Automatically supported machine learning packages are \'mlr\',
\'randomForest\', \'caret\' or all other with an S3 predict function. For
further model types from other libraries, a predict function has to be
provided as an argument in order to get access to the model. Reference
to the ICE approach: Alex Goldstein, Adam Kapelner, Justin Bleich, Emil
Pitkin (2013) < arXiv:1309.6392>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
