g.b.step1: Classifier Support Vector Machine - Step 1
In Vitlik/DA2-17: Image Recognition
Description
Usage
Arguments
Value
Author(s)
Description
The train matrix is used to compute hyperplanes of the feature vector. The parameters of the function have
been tuned with the tune() function.
To get (back) to the overview of all steps and functions use this link:
a.a.main
Usage
1
g.b.step1(trainData)
Arguments
trainData
A sample matrix of all files to train the svm classifier
Value
Support Vector Machine model trained with sampled data
Author(s)
Colin Juers
Vitlik/DA2-17 documentation built on May 20, 2019, 11:12 a.m.
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Description Usage Arguments Value Author(s)
Description
The train matrix is used to compute hyperplanes of the feature vector. The parameters of the function have
been tuned with the tune() function.
To get (back) to the overview of all steps and functions use this link:
a.a.main
Usage
1 | g.b.step1(trainData)
|
Arguments
trainData |
A sample matrix of all files to train the svm classifier |
Value
Support Vector Machine model trained with sampled data
Author(s)
Colin Juers
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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