postSpatialProbs.bayes: Posterior Spatial probabilties
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Value
Description
Multinomial classification is not currently supported.
Assume mi,j is TRUE if FALSE, then
check to see if K-Block kernel evaluates to TRUE.
If K-Block is TRUE, then use conditional probabilities
to determine class membership.
Usage
1
2
## S3 method for class 'bayes'
postSpatialProbs(object, X)
Arguments
object
s3 bayes object
X
spatial feature vector
Value
matrix of spatial features
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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Description Usage Arguments Value
Description
Multinomial classification is not currently supported. Assume mi,j is TRUE if FALSE, then check to see if K-Block kernel evaluates to TRUE. If K-Block is TRUE, then use conditional probabilities to determine class membership.
Usage
1 2 | ## S3 method for class 'bayes'
postSpatialProbs(object, X)
|
Arguments
object |
s3 bayes object |
X |
spatial feature vector |
Value
matrix of spatial features
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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