simulate.split

character vector or factor. The source of concatenated feature.

character value. The string to use for splitting.

delim

character value. Either "<code>count</code>" or "<code>existence</code>".
"<code>count</code>" indicates the number of occurrence of the token.
"<code>existence</code>" indicates the boolean that whether the token exist or not.

type

Simulate how <code>split</code> work in <code>hashed.model.matrix</code> to split the string into
tokens

Feature hashing, also called as the hashing trick, is a method to transform
features of a instance to a vector. Thus, it is a method to transform a real dataset to a matrix.
Without looking up the indices in an associative array,
it applies a hash function to the features and uses their hash values as indices directly.
The method of feature hashing in this package was proposed in Weinberger et al. (2009) <arXiv:0902.2206>.
The hashing algorithm is the murmurhash3 from the 'digest' package.
Please see the README in <https://github.com/wush978/FeatureHashing> for more information.

simulate.split: Simulate how `split` work in `hashed.model.matrix` to split the string into tokens

Description

Usage

Arguments

Value