ft_test

Evaluate the quality of the predictions.
 For the model evaluation precision and recall are used.

An interface to the 'fastText' library
<https://github.com/facebookresearch/fastText>. The package
can be used for text classification and to learn word vectors.
An example how to use 'fastTextR' can be found in the 'README' file.

Emil Hvitfeldt

fastTextR

An Interface to the 'fastText' Library

Florian Schwendinger

ft_test function

<dl><dt>model</dt>
<dd>an object inheriting from <code>'fasttext'</code>.</dd>
<dt>file</dt>
<dd>a character string giving the location of the validation file.</dd>
<dt>k</dt>
<dd>an integer giving the number of labels to be returned.</dd>
<dt>threshold</dt>
<dd>a double giving the threshold.</dd></dl>

Arguments

Evaluate the Model — ft_test

<dl>

<dt>model</dt>
<dd>an object inheriting from <code>'fasttext'</code>.</dd>


<dt>file</dt>
<dd>a character string giving the location of the validation file.</dd>


<dt>k</dt>
<dd>an integer giving the number of labels to be returned.</dd>


<dt>threshold</dt>
<dd>a double giving the threshold.</dd>

</dl>

ft_test: Evaluate the Model

Description

Usage

Arguments

Examples