test.tag

<p>This is a vector to demo the concatenated feature.</p>

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.

Wush Wu

FeatureHashing

Creates a Model Matrix via Feature Hashing with a Formula
Interface

Michael Benesty

test.tag function

<p>For each element, the string represents the occurrence
of different tags. For example, the string "1,27,19,25,tp,tw"
of the first instance represents that the feature `1` is TRUE, the feature `27` is
TRUE, et. al. On the contrary, the missing feature such as `2`
is FALSE.</p>

test.tag: test.tag

Description

Arguments

Format