predict_naive_bn: Naive Bayes Classifier
In xinzhou1023/nbcont: A package for Naive Bayes Classifier for independents which are continuous random variable
Description
Usage
Arguments
Value
Description
A function of Naive Bayes Classifier for numeric only independents.
Usage
1
predict_naive_bn(fit, newdata, threshold)
Arguments
fit
a data.table class modelling dataset; only support numeric independents.
newdata
a data.table class dataset with target variable; only support numeric independents.
threshold
a positive numeric, usually small; if the variance of independent is 0, then use this value to replace it to avoid perfect division.
Value
a list of modeling result. It contains the following components:
predict: a prediction result table.
xinzhou1023/nbcont documentation built on May 4, 2019, 1:07 p.m.
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Description Usage Arguments Value
Description
A function of Naive Bayes Classifier for numeric only independents.
Usage
1 | predict_naive_bn(fit, newdata, threshold)
|
Arguments
fit |
a data.table class modelling dataset; only support numeric independents. |
newdata |
a data.table class dataset with target variable; only support numeric independents. |
threshold |
a positive numeric, usually small; if the variance of independent is 0, then use this value to replace it to avoid perfect division. |
Value
a list of modeling result. It contains the following components: predict: a prediction result table.
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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