separable: Separable data for hard margin comparison models
In tdhock/rankSVMcompare: Support Vector Machines for Ranking and Comparing
Description
Two features (angle and distance) were measured for several layouts of
a graph with 2 nodes. Each pair of layouts is represented by a row of
Xi and Xip, and the corresponding element of the labels yi.
The goal is analyzing
these data is to find a function that accurately predicts the label yi
given a pair of features Xi and Xip.
Usage
1
Format
List of n=189 by p=2 numeric feature matrices Xi and Xip, with
n corresponding comparisons yi. See check.pairs.
tdhock/rankSVMcompare documentation built on May 31, 2019, 7:38 a.m.
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Description
Two features (angle and distance) were measured for several layouts of a graph with 2 nodes. Each pair of layouts is represented by a row of Xi and Xip, and the corresponding element of the labels yi. The goal is analyzing these data is to find a function that accurately predicts the label yi given a pair of features Xi and Xip.
Usage
1 |
Format
List of n=189 by p=2 numeric feature matrices Xi and Xip, with
n corresponding comparisons yi. See check.pairs.
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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