validate_classifier: Validates the classifier specified from the 'caret' package
In ramhiser/activelearning: A Collection of Active Learning Methods in R
Description
Usage
Arguments
Value
Examples
Description
We ensure that the specified classifier is a valid classifier in the
caret package.
Usage
1
validate_classifier(classifier, posterior_prob = FALSE)
Arguments
classifier
string that contains the supervised classifier as given in
the caret package.
posterior_prob
Are posterior probabilities required? If so, set to
TRUE. By default, set to FALSE.
Value
TRUE invisibly if no errors occur.
Examples
1
2
validate_classifier('lda')
validate_classifier('What else floats? ... Very small rocks. ... Gravy.')
ramhiser/activelearning documentation built on May 26, 2019, 10:06 p.m.
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Description Usage Arguments Value Examples
Description
We ensure that the specified classifier is a valid classifier in the
caret package.
Usage
1 | validate_classifier(classifier, posterior_prob = FALSE)
|
Arguments
classifier |
string that contains the supervised classifier as given in
the |
posterior_prob |
Are posterior probabilities required? If so, set to
|
Value
TRUE invisibly if no errors occur.
Examples
1 2 | validate_classifier('lda')
validate_classifier('What else floats? ... Very small rocks. ... Gravy.')
|
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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