fit.nb: Function fit.nb implements model building algorithm of Naive...
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
Arguments
data
data.frame contains values of our training set
fact
Factor categories list pointing the right classification of the data (one per sample)
p
m-estimation constrant
Value
object klasy mcTbnb do uzycia w funkcji predict
Examples
1
2
vovkaOst/TextClassifier documentation built on May 3, 2019, 6:41 p.m.
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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 |
Arguments
data |
data.frame contains values of our training set |
fact |
Factor categories list pointing the right classification of the data (one per sample) |
p |
m-estimation constrant |
Value
object klasy mcTbnb do uzycia w funkcji predict
Examples
1 2 |
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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