58 lines
1.3 KiB
JavaScript
58 lines
1.3 KiB
JavaScript
/**
|
|
* @license Apache-2.0
|
|
*
|
|
* Copyright (c) 2018 The Stdlib Authors.
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
|
|
'use strict';
|
|
|
|
/**
|
|
* Latent Dirichlet Allocation via collapsed Gibbs sampling.
|
|
*
|
|
* @module @stdlib/nlp/lda
|
|
*
|
|
* @example
|
|
* var lda = require( '@stdlib/nlp/lda' );
|
|
*
|
|
* var words;
|
|
* var model;
|
|
* var docs;
|
|
*
|
|
* docs = [
|
|
* 'I loved you first',
|
|
* 'For one is both and both are one in love',
|
|
* 'You never see my pain',
|
|
* 'My love is such that rivers cannot quench',
|
|
* 'See a lot of pain, a lot of tears'
|
|
* ];
|
|
*
|
|
* model = lda( docs, 2 );
|
|
* // returns {}
|
|
*
|
|
* model.fit( 1000, 100, 10 );
|
|
*
|
|
* words = getTerms( 0, 3 );
|
|
* // e.g., returns [ { word: 'both', prob: ~0.0632 }, { word: 'pain', prob: ~0.0552 }, ... ]
|
|
*/
|
|
|
|
// MODULES //
|
|
|
|
var lda = require( './lda.js' );
|
|
|
|
|
|
// EXPORTS //
|
|
|
|
module.exports = lda;
|