Package Exports
- @stdlib/datasets-spam-assassin
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/datasets-spam-assassin) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Spam Assassin
The Spam Assassin public mail corpus.
Installation
npm install @stdlib/datasets-spam-assassinUsage
var corpus = require( '@stdlib/datasets-spam-assassin' );corpus()
Returns the Spam Assassin public mail corpus.
var data = corpus();
// returns [{...},{...},...]Each array element has the following fields:
id: message id (relative to messagegroup)group: message groupchecksum: object containing checksum infotext: message text (including headers)
The message group may be one of the following:
easy-ham-1: easier to detect non-spam e-mails (2500 messages)easy-ham-2: easier to detect non-spam e-mails collected at a later date (1400 messages)hard-ham-1: harder to detect non-spam e-mails (250 messages)spam-1: spam e-mails (500 messages)spam-2: spam e-mails collected at a later date (1396 messages)
The checksum object contains the following fields:
type: checksum type (e.g., MD5)value: checksum value
Examples
var corpus = require( '@stdlib/datasets-spam-assassin' );
var data;
var i;
data = corpus();
for ( i = 0; i < data.length; i++ ) {
console.log( 'Character Count: %d', data[ i ].text.length );
}CLI
Installation
To use the module as a general utility, install the module globally
npm install -g @stdlib/datasets-spam-assassinUsage
Usage: spam-assassin [options]
Options:
-h, --help Print this message.
-V, --version Print the package version.
--format fmt Output format: 'txt' or 'ndjson'.Notes
- The CLI supports two output formats: plain text (
txt) and newline-delimited JSON (NDJSON). The default output format istxt.
Examples
$ spam-assassinLicense
The data files (databases) are licensed under an Open Data Commons Public Domain Dedication & License 1.0 and their contents are licensed under Creative Commons Zero v1.0 Universal. The software is licensed under Apache License, Version 2.0.
Notice
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
Community
Copyright
Copyright © 2016-2021. The Stdlib Authors.