fit.nb.bernoulli: Function fit.nb.bernoulli implements model building algorithm...
In vovkaOst/TextClassifier: Package for classifying text using Abstracts dataset http://archive.ics.uci.edu/ml/datasets/NSF+Research+Award+Abstracts+1990-2003
Description
Usage
Arguments
Value
Examples
Description
Bernoulli model is equivalent to the binary independence model, which generates an indicator
for each term of the vocabulary, either 1 indicatingpresence of the term in the document or 0 indicating absence.
(we're using bernoulli distribution for conditional probabilities p(F|c) calculation )
More information about algorithm can be found in the book Introduction to Information Retrieval (p.253-265)
Usage
1
fit.nb.bernoulli(data, fact)
Arguments
data
data.frame contains values of our training set
fact
Factor categories list pointing the right classification of the data (one per sample)
Value
object klasy mcTbnb do uzycia w funkcji predict
Examples
1
fit.nb.bernoulli(train.data, label)
vovkaOst/TextClassifier documentation built on May 3, 2019, 6:41 p.m.
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.
Description Usage Arguments Value Examples
Description
Bernoulli model is equivalent to the binary independence model, which generates an indicator for each term of the vocabulary, either 1 indicatingpresence of the term in the document or 0 indicating absence. (we're using bernoulli distribution for conditional probabilities p(F|c) calculation ) More information about algorithm can be found in the book Introduction to Information Retrieval (p.253-265)
Usage
1 | fit.nb.bernoulli(data, fact)
|
Arguments
data |
data.frame contains values of our training set |
fact |
Factor categories list pointing the right classification of the data (one per sample) |
Value
object klasy mcTbnb do uzycia w funkcji predict
Examples
1 | fit.nb.bernoulli(train.data, label)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.