Rcpp_fastrtext-class

Models are <a rd-options="" href="/link/S4?package=fastrtext&version=0.3.3" data-mini-rdoc="fastrtext::S4">S4</a> objects with several slots (methods) which can be called that way: model$slot_name()

Learning text representations and text classifiers may rely
on the same simple and efficient approach. 'fastText' is an open-source, free,
lightweight library that allows users to perform both tasks.
It transforms text into continuous vectors that can later
be used on many language related task.
It works on standard, generic hardware (no 'GPU' required).
It also includes model size reduction feature.
'fastText' original source code is available
at <https://github.com/facebookresearch/fastText>.

Michael Benesty

fastrtext

'fastText' Wrapper for Text Classification and Word
Representation

Micha<c3><ab>l Benesty

Facebook, Inc 

Rcpp_fastrtext-class function

<dl class="dl-horizontal">
<dt><code>load</code></dt><dd>Load a model</dd></dl><dt><code>predict</code></dt><dd>Make a prediction</dd><dt><code>execute</code></dt><dd>Execute commands</dd><dt><code>get_vectors</code></dt><dd>Get vectors related to provided words</dd><dt><code>get_parameters</code></dt><dd>Get parameters used to train the model</dd><dt><code>get_dictionary</code></dt><dd>List all words learned</dd><dt><code>get_labels</code></dt><dd>List all labels learned</dd>

Slots

Models are <a rd-options='' href='S4'>S4</a> objects with several slots (methods) which can be called that way: model$slot_name()

Rcpp_fastrtext-class: Rcpp_fastrtext class

Description

Arguments

Slots