split.categories: Function split.categories changes dataframe from the one with...

In vovkaOst/TextClassifier: Package for classifying text using Abstracts dataset http://archive.ics.uci.edu/ml/datasets/NSF+Research+Award+Abstracts+1990-2003

Description

Such shape of data is required by naiveBayes function and generally recognized. Additionaly some categories defined by used can be dropped from the data frame by passing a list invalid.cats.hash

Usage

## S3 method for class 'categories'
split(df, min.n = 500, invalid.cats.hash = emptyenv(),
  min.w = 2)

Arguments

df	data.frame input data frame with values and categories
min.n	int minimalna liczba wystapien danej kategorii
invalid.cats.hash	hashtable nazwy kategori ktore powinny zostac odrzucone
min.w	int minimalna liczba wystapien danego slowa

Value

splitted_vectors list list that contains $data - output data $fact - output factor corresponding to the data

Examples

split.categories(mydataframe, 100, create.hash(c("c.OtherApplicationsNEC", "c.OtherSciencesNEC")), 2)

vovkaOst/TextClassifier documentation built on May 3, 2019, 6:41 p.m.