prior: Class prior change
In tdhock/animint: Interactive animations
Description
Usage
Format
Source
References
Description
Performance of several class prior change models was studied across 4
data sets.
Usage
1
Format
List of 2 data.frames: accuracy contains the mean and standard error of
the performance measures (sqErr and accuracy), data.set.info contains
meta-data about the dimension and number of positive and negative
examples in each data set.
Source
MC du Plessis, personal communication.
References
du Plessis MC, Sugiyama M.
Semi-Supervised Learning of Class Balance under Class-Prior Change by
Distribution Matching. ICML 2012.
tdhock/animint documentation built on July 27, 2019, 5:57 a.m.
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Description Usage Format Source References
Description
Performance of several class prior change models was studied across 4 data sets.
Usage
1 |
Format
List of 2 data.frames: accuracy contains the mean and standard error of the performance measures (sqErr and accuracy), data.set.info contains meta-data about the dimension and number of positive and negative examples in each data set.
Source
MC du Plessis, personal communication.
References
du Plessis MC, Sugiyama M. Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching. ICML 2012.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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