├── client_src
├── data
├── css
│ └── termite.css
└── index.html
├── .gitignore
├── web.sh
├── test.sh
├── test
├── NoiseFactorComputation_test.html
├── SpectralSeriation_test.html
├── SpectralSeriation_timing.html
├── ConjugateGradientSolver_test.html
├── ConjugateGradientSolver_timing.html
├── SpectralSeriation_extended_test.html
├── ConstrainedOptimizationSolver_test.html
├── ConstrainedOptimizationSolver_timing.html
├── CorrespondenceChartObject_test.html
├── DenoiseComputation_test.html
├── ConstrainedOptimizationInitSolver_test.html
├── SpectralSeriation_timing.js
├── ConjugateGradientSolver_timing.js
├── ConstrainedOptimizationSolver_test.js
├── ConstrainedOptimizationSolver_timing.js
├── ConjugateGradientSolver_test.js
└── ConstrainedOptimizationInitSolver_test.js
├── LICENSE
├── README
└── data
└── comparisons
├── userE--lda_5_0.0001_0.001.csv
├── userE--lda_5_0.001_0.0001.csv
├── userE--lda_5_0.01_0.0001.csv
├── userE--lda_5_0.0001_0.0001.csv
├── userE--lda_5_0.001_0.01.csv
├── userE--lda_5_0.001_0.1.csv
├── userE--lda_5_0.01_0.1.csv
├── userE--lda_5_0.1_0.001.csv
├── userE--lda_5_0.1_0.1.csv
├── userE--lda_5_0.0001_0.01.csv
├── userE--lda_5_0.001_0.001.csv
├── userE--lda_5_0.01_0.001.csv
├── userE--lda_5_0.1_0.0001.csv
├── userE--lda_5_0.1_0.01.csv
├── userE--lda_5_0.0001_0.1.csv
├── userE--lda_5_0.01_0.01.csv
├── userF--lda_5_0.001_0.0001.csv
├── userF--lda_5_0.0001_0.001.csv
├── userF--lda_5_0.01_0.1.csv
├── userF--lda_5_0.01_0.0001.csv
├── userF--lda_5_0.1_0.01.csv
├── userF--lda_5_0.0001_0.1.csv
├── userF--lda_5_0.001_0.01.csv
├── userF--lda_5_0.01_0.001.csv
├── userF--lda_5_0.01_0.01.csv
├── userF--lda_5_0.1_0.0001.csv
├── userF--lda_5_0.1_0.001.csv
├── userF--lda_5_0.0001_0.0001.csv
├── userF--lda_5_0.0001_0.01.csv
├── userF--lda_5_0.001_0.001.csv
├── userF--lda_5_0.001_0.1.csv
├── userF--lda_5_0.1_0.1.csv
├── userC--lda_5_0.0001_0.001.csv
├── userD--lda_5_0.0001_0.01.csv
├── userD--lda_5_0.001_0.1.csv
├── userA--lda_5_0.1_0.01.csv
├── userD--lda_5_0.0001_0.0001.csv
├── userD--lda_5_0.0001_0.001.csv
├── userD--lda_5_0.001_0.01.csv
├── userD--lda_5_0.01_0.001.csv
├── userG--lda_5_0.0001_0.001.csv
├── userG--lda_5_0.001_0.1.csv
├── userG--lda_5_0.01_0.1.csv
├── userA--lda_5_0.001_0.01.csv
├── userC--lda_5_0.01_0.1.csv
├── userD--lda_5_0.0001_0.1.csv
├── userD--lda_5_0.001_0.0001.csv
├── userD--lda_5_0.01_0.0001.csv
├── userD--lda_5_0.01_0.01.csv
├── userD--lda_5_0.1_0.0001.csv
├── userD--lda_5_0.1_0.01.csv
├── userG--lda_5_0.0001_0.0001.csv
├── userG--lda_5_0.0001_0.01.csv
├── userG--lda_5_0.0001_0.1.csv
├── userG--lda_5_0.01_0.001.csv
├── userG--lda_5_0.01_0.01.csv
├── userG--lda_5_0.1_0.001.csv
├── userG--lda_5_0.1_0.01.csv
├── userA--lda_5_0.0001_0.001.csv
├── userA--lda_5_0.001_0.0001.csv
├── userA--lda_5_0.001_0.1.csv
├── userA--lda_5_0.01_0.01.csv
├── userA--lda_5_0.01_0.1.csv
└── userA--lda_5_0.1_0.0001.csv
/client_src/data:
--------------------------------------------------------------------------------
1 | ../data/
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | .DS_Store
2 | node_modules/*
3 |
--------------------------------------------------------------------------------
/web.sh:
--------------------------------------------------------------------------------
1 | #!/bin/bash
2 |
3 | python -m SimpleHTTPServer 8888
4 |
--------------------------------------------------------------------------------
/test.sh:
--------------------------------------------------------------------------------
1 | #!/bin/bash
2 |
3 | if [ ! -d "node_modules/node" ]
4 | then
5 | npm install node
6 | fi
7 |
8 | if [ ! -d "node_modules/mocha" ]
9 | then
10 | npm install mocha
11 | fi
12 |
13 | if [ ! -d "node_modules/chai" ]
14 | then
15 | npm install chai
16 | fi
17 |
18 | if [ ! -d "node_modules/underscore" ]
19 | then
20 | npm install underscore
21 | fi
22 |
23 | if [ ! -d "node_modules/d3" ]
24 | then
25 | npm install d3
26 | fi
27 |
28 | echo "Running all mocha tests..."
29 | mocha
30 |
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/test/NoiseFactorComputation_test.html:
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1 |
2 |
3 |
4 | NoiseFactorComputation | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
17 |
18 |
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/test/SpectralSeriation_test.html:
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1 |
2 |
3 |
4 | SpectralSeriation | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
18 |
19 |
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/test/SpectralSeriation_timing.html:
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1 |
2 |
3 |
4 | SpectralSeriation | Mocha Timing
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
18 |
19 |
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/test/ConjugateGradientSolver_test.html:
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1 |
2 |
3 |
4 | ConjugateGradientSolver | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
18 |
19 |
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/test/ConjugateGradientSolver_timing.html:
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1 |
2 |
3 |
4 | ConjugateGradientSolver | Mocha Timing
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
18 |
19 |
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/test/SpectralSeriation_extended_test.html:
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1 |
2 |
3 |
4 | Spectral Seriation | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
19 |
20 |
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/test/ConstrainedOptimizationSolver_test.html:
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1 |
2 |
3 |
4 | ConstrainedOptimizationSolver | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
19 |
20 |
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/test/ConstrainedOptimizationSolver_timing.html:
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1 |
2 |
3 |
4 | ConstrainedOptimizationSolver | Mocha Timing
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
19 |
20 |
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/test/CorrespondenceChartObject_test.html:
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1 |
2 |
3 |
4 | CorrespondenceChartObject | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
20 |
21 |
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/test/DenoiseComputation_test.html:
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1 |
2 |
3 |
4 | DenoiseComputation | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
23 |
24 |
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/test/ConstrainedOptimizationInitSolver_test.html:
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1 |
2 |
3 |
4 | ConstrainedOptimizationInitSolver | Mocha Tests
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
21 |
22 |
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/client_src/css/termite.css:
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1 | body {
2 | background-color: #ccc;
3 | cursor: default;
4 | }
5 | div, p {
6 | padding: 0;
7 | margin: 0;
8 | border: 0;
9 | }
10 |
11 | #PageHeader {
12 | font-family: Georgia;
13 | padding: 15px 25px;
14 | background: #eee;
15 | border-top-right-radius: 29px;
16 | }
17 | #PageHeader .title {
18 | font-weight: bold;
19 | font-size: 18pt;
20 | }
21 | #PageHeader .subtitle {
22 | font-size: 12pt;
23 | color: #666;
24 | }
25 | #PageHeader .credits {
26 | font-size: 9pt;
27 | color: #999;
28 | }
29 | #PageHeader a {
30 | text-decoration: none;
31 | color: #999;
32 | }
33 | #PageHeader a:hover {
34 | text-decoration: underline;
35 | color: #666;
36 | }
37 |
38 | #PageControl {
39 | color: #666;
40 | font-family: Verdana;
41 | font-size: 8pt;
42 | padding: 10px 20px;
43 | background: #eee;
44 | border-top: 1px solid #ccc;
45 | border-bottom: 1px solid #ccc;
46 | }
47 |
48 | #Visualization {
49 | padding: 0 40px;
50 | }
51 |
52 | #PageFooter {
53 | min-height: 60px;
54 | }
55 |
56 | #Content {
57 | background: #fff;
58 | display: inline-block;
59 | margin: 20px;
60 | border: 1px solid #999;
61 | border-top-right-radius: 30px;
62 | border-bottom-left-radius: 50px;
63 | box-shadow: 2px 2px 8px #666;
64 | }
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | Copyright (c) 2013, Leland Stanford Junior University
2 | All rights reserved.
3 |
4 | Redistribution and use in source and binary forms, with or without
5 | modification, are permitted provided that the following conditions are met:
6 | * Redistributions of source code must retain the above copyright
7 | notice, this list of conditions and the following disclaimer.
8 | * Redistributions in binary form must reproduce the above copyright
9 | notice, this list of conditions and the following disclaimer in the
10 | documentation and/or other materials provided with the distribution.
11 | * Neither the name of the nor the
12 | names of its contributors may be used to endorse or promote products
13 | derived from this software without specific prior written permission.
14 |
15 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
16 | ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
17 | WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
18 | DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY
19 | DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
20 | (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
21 | LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
22 | ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
23 | (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
24 | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
25 |
--------------------------------------------------------------------------------
/test/SpectralSeriation_timing.js:
--------------------------------------------------------------------------------
1 |
2 | // Node.js: Load required libraries
3 | if ( typeof require !== "undefined" ) {
4 | chai = require( "chai" );
5 | SpectralSeriation = require( "../client_src/js/SpectralSeriation.js" ).SpectralSeriation;
6 | }
7 |
8 | // 0.1701ms for inlined implementation based on 10,000 iterations at N = 250.
9 | // 0.4016ms for original implementation based on 10,000 iterations at N = 250.
10 |
11 | // 0.8477ms for inlined implementation, at N = 1000
12 | // 1.5402ms for original implementation, at N = 1000
13 |
14 | var MAX_ITERS = 10000;
15 | var N = 1000;
16 | var startTime = null;
17 | var endTime = null;
18 |
19 | beforeEach( function() {
20 | startTime = new Date();
21 | });
22 | afterEach( function() {
23 | endTime = new Date();
24 | console.log( "\nConjugateGradient: " + MAX_ITERS + " iterations @ " + ( endTime - startTime ) / MAX_ITERS + " ms/iteration." );
25 | });
26 |
27 | describe( "SpectralSeriation:", function() {
28 | it( "should execute " + MAX_ITERS + " iterations.", function() {
29 |
30 | var getA = function( N )
31 | {
32 | var A = [];
33 | for ( var i = 0; i < N; i++ )
34 | for ( var j = i; j < N; j++ )
35 | {
36 | if ( i == j )
37 | {
38 | A.push( { i : i, j : j, value : 1.0 } );
39 | }
40 | else
41 | {
42 | A.push( { i : i, j : j, value : Math.random() } );
43 | A.push( { i : j, j : i, value : Math.random() } );
44 | }
45 | }
46 | return A;
47 | };
48 | for ( var iter = 0; iter < MAX_ITERS; iter++ )
49 | {
50 | var seriation = new SpectralSeriation();
51 | seriation.compute( N, getA() );
52 | }
53 | });
54 | });
55 |
--------------------------------------------------------------------------------
/test/ConjugateGradientSolver_timing.js:
--------------------------------------------------------------------------------
1 |
2 | // Node.js: Load required libraries
3 | if ( typeof require !== "undefined" ) {
4 | chai = require( "chai" );
5 | ConjugateGradientSolver = require( "../client_src/js/ConjugateGradientSolver.js" ).ConjugateGradientSolver;
6 | }
7 |
8 | // Approximately 0.1s per iteration for 40x50 matrices. Original implementation.
9 | // 0.05s per iteration for 40x50 matrices. Inlined __multiplyVectorByAT() method.
10 | // 7.079ms per iteration for 40x50 matrices. Inlined __multiplyVectorByT() method.
11 | // Inlining __zeros has no effect.
12 | // 6.022ms per iteration. Inlined __rescaleVector() method.
13 | // 5.041ms per iteration. Inlined __dot() method.
14 |
15 | var MAX_ITERS = 1000;
16 | var N = 40;
17 | var M = 50;
18 | var startTime = null;
19 | var endTime = null;
20 |
21 | beforeEach( function() {
22 | startTime = new Date();
23 | });
24 | afterEach( function() {
25 | endTime = new Date();
26 | console.log( "\nConjugateGradient: " + MAX_ITERS + " iterations @ " + ( endTime - startTime ) / MAX_ITERS + " ms/iteration." );
27 | });
28 |
29 | describe( "ConjugateGradientSolver:", function() {
30 | it( "should execute " + MAX_ITERS + " iterations.", function() {
31 |
32 | var getA = function( N, M )
33 | {
34 | var A = [];
35 | for ( var i = 0; i < N; i++ )
36 | for ( var j = 0; j < M; j++ )
37 | A.push( { i : i, j : j, value : Math.random() } );
38 | return A;
39 | };
40 | var getB = function( N )
41 | {
42 | var B = [];
43 | for ( var i = 0; i < N; i++ )
44 | B.push( Math.random() );
45 | return B;
46 | };
47 | for ( var iter = 0; iter < MAX_ITERS; iter++ )
48 | {
49 | var cg = new ConjugateGradientSolver();
50 | cg.solve( N, M, getA(N,M), getB(N) );
51 | }
52 | });
53 | });
54 |
--------------------------------------------------------------------------------
/test/ConstrainedOptimizationSolver_test.js:
--------------------------------------------------------------------------------
1 |
2 | // Node.js: Load required libraries
3 | if ( typeof require !== "undefined" ) {
4 | chai = require( "chai" );
5 | ConstrainedOptimizationSolver = require( "../client_src/js/ConstrainedOptimizationSolver.js" ).ConstrainedOptimizationSolver;
6 | }
7 |
8 |
9 | describe( "ConstrainedOptimizationSolver:", function() {
10 |
11 | var A = [
12 | { i : 0, j : 0, value : 0.25 },
13 | { i : 1, j : 0, value : 0.50 },
14 | { i : 2, j : 0, value : 0.25 },
15 | { i : 1, j : 1, value : 0.25 },
16 | { i : 2, j : 1, value : 0.50 },
17 | { i : 3, j : 1, value : 0.25 },
18 | { i : 2, j : 2, value : 0.25 },
19 | { i : 3, j : 2, value : 0.75 },
20 | { i : 4, j : 2, value : 1.00 },
21 | { i : 5, j : 2, value : 0.75 },
22 | { i : 6, j : 2, value : 0.25 }
23 | ];
24 | var B = [
25 | 0.1000,
26 | 0.2000,
27 | 0.3000,
28 | 0.2000,
29 | 0.0500,
30 | 0.0300,
31 | 0.0200
32 | ];
33 | var x0 = [
34 | 0.5000,
35 | 0.3000,
36 | 0.2000
37 | ];
38 |
39 | describe( "Solve constrained optimization", function() {
40 | var optim = new ConstrainedOptimizationSolver();
41 | var x = optim.solve( 7, 3, A, B, x0 );
42 |
43 | it( "should be a vector of length 3.", function() {
44 | chai.assert.equal( 3, x.length );
45 | });
46 | it( "should contain values [ 0.466, 0.512, 0.021 ].", function() {
47 | console.log( x )
48 | chai.assert.equal( true, Math.abs( 0.466514963789744 - x[0] ) < 1e-15 ); // Arithmetic errors
49 | chai.assert.equal( true, Math.abs( 0.512358555626676 - x[1] ) < 1e-15 ); // Arithmetic errors
50 | chai.assert.equal( true, Math.abs( 0.021126480583579 - x[2] ) < 1e-15 ); // Arithmetic errors
51 | });
52 | it( "should be solved in 20 iterations", function() {
53 | chai.assert.equal( 20, optim.iters );
54 | });
55 | });
56 | });
57 |
--------------------------------------------------------------------------------
/test/ConstrainedOptimizationSolver_timing.js:
--------------------------------------------------------------------------------
1 |
2 | // Node.js: Load required libraries
3 | if ( typeof require !== "undefined" ) {
4 | chai = require( "chai" );
5 | ConstrainedOptimizationSolver = require( "../client_src/js/ConstrainedOptimizationSolver.js" ).ConstrainedOptimizationSolver;
6 | }
7 |
8 | // 100 iterations @ 280.66 ms/iteration based on original implementation.
9 | // 100 iterations @ 23.39 ms/iteration after inlining multiply by A and AT
10 | // 100 iterations @ 14.26 ms/iteration after removing Array.map calls.
11 | // 100 iterations @ 8.26 ms/iteration after caching diff in __distanceBetweenVectors calculation.
12 |
13 | var MAX_ITERS = 100;
14 | var N = 40;
15 | var M = 50;
16 | var startTime = null;
17 | var endTime = null;
18 |
19 | beforeEach( function() {
20 | startTime = new Date();
21 | });
22 | afterEach( function() {
23 | endTime = new Date();
24 | console.log( "\nConstrainedOptimizationSolver: " + MAX_ITERS + " iterations @ " + ( endTime - startTime ) / MAX_ITERS + " ms/iteration." );
25 | });
26 |
27 | describe( "ConstrainedOptimizationSolver:", function() {
28 | it( "should execute " + MAX_ITERS + " iterations.", function() {
29 |
30 | var getA = function( N, M )
31 | {
32 | var A = [];
33 | for ( var i = 0; i < N; i++ )
34 | for ( var j = 0; j < M; j++ )
35 | A.push( { i : i, j : j, value : Math.random() } );
36 | return A;
37 | };
38 | var getB = function( N )
39 | {
40 | var B = [];
41 | for ( var i = 0; i < N; i++ )
42 | B.push( Math.random() );
43 | return B;
44 | };
45 | var getX0 = function( M )
46 | {
47 | var x0 = [];
48 | for ( var j = 0; j < M; j++ )
49 | x0.push( 1.0 / M );
50 | return x0;
51 | }
52 | for ( var iter = 0; iter < MAX_ITERS; iter++ )
53 | {
54 | var optim = new ConstrainedOptimizationSolver();
55 | optim.solve( N, M, getA(N,M), getB(N), getX0(M) );
56 | }
57 | });
58 | });
59 |
--------------------------------------------------------------------------------
/test/ConjugateGradientSolver_test.js:
--------------------------------------------------------------------------------
1 |
2 | // Node.js: Load required libraries
3 | if ( typeof require !== "undefined" ) {
4 | chai = require( "chai" );
5 | ConjugateGradientSolver = require( "../client_src/js/ConjugateGradientSolver.js" ).ConjugateGradientSolver;
6 | }
7 |
8 | describe( "ConjugateGradientSolver:", function() {
9 |
10 | var I = [
11 | { i : 0, j : 0, value : 1 },
12 | { i : 1, j : 1, value : 1 }
13 | ];
14 | var A = [
15 | { i : 0, j : 0, value : 2 },
16 | { i : 0, j : 1, value : 5 },
17 | { i : 1, j : 1, value : 1 },
18 | { i : 1, j : 2, value : 1 }
19 | ];
20 | var B = [ 5, 2 ];
21 |
22 | describe( "Solve for min || I * x - B ||", function() {
23 | var cg = new ConjugateGradientSolver();
24 | var x = cg.solve( 2, 3, I, B );
25 |
26 | it( "should be a vector of length 3.", function() {
27 | chai.assert.equal( 3, x.length );
28 | });
29 | it( "should contain values [ 5, 2, 0 ].", function() {
30 | chai.assert.equal( true, Math.abs( 5 - x[0] ) < 1e-15 ); // Arithmetic errors
31 | chai.assert.equal( true, Math.abs( 2 - x[1] ) < 1e-15 ); // Arithmetic errors
32 | chai.assert.equal( true, Math.abs( 0 - x[2] ) < 1e-15 ); // Arithmetic errors
33 | });
34 | it( "should be solved in 1 iteration", function() {
35 | chai.assert.equal( 1, cg.iters );
36 | });
37 | });
38 |
39 | describe( "Solve for min || A * x - B ||", function() {
40 | var cg = new ConjugateGradientSolver();
41 | var x = cg.solve( 2, 3, A, B );
42 |
43 | it( "should be a vector of length 3.", function() {
44 | chai.assert.equal( 3, x.length );
45 | });
46 | it( "should contain values [ 0, 1, 1 ].", function() {
47 | chai.assert.equal( true, Math.abs( 0 - x[0] ) < 1e-15 ); // Arithmetic errors
48 | chai.assert.equal( true, Math.abs( 1 - x[1] ) < 1e-15 ); // Arithmetic errors
49 | chai.assert.equal( true, Math.abs( 1 - x[2] ) < 1e-15 ); // Arithmetic errors
50 | });
51 | it( "should be solved in 2 iterations", function() {
52 | chai.assert.equal( 2, cg.iters );
53 | });
54 | });
55 | });
56 |
--------------------------------------------------------------------------------
/README:
--------------------------------------------------------------------------------
1 | README for Topic Model Diagnostics Framework.
2 |
3 | ---------------
4 | INFORMATION
5 | ---------------
6 | Topic Model Diagnostics Framework is a tool for comparing the output from
7 | pairs of statistical topic models based on the techniques described in the
8 | following publication:
9 |
10 | Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
11 | Jason Chuang, Sonal Gupta, Christopher D. Manning, Jeffrey Heer
12 | Computer Science Dept, Stanford University
13 | http://http://vis.stanford.edu/papers/topic-model-diagnostics
14 |
15 | This software is developed by Jason Chuang
16 | and distributed under the BSD-3 license.
17 |
18 | -----------
19 | LICENSE
20 | -----------
21 | Copyright (c) 2013, Leland Stanford Junior University
22 | All rights reserved.
23 |
24 | Redistribution and use in source and binary forms, with or without
25 | modification, are permitted provided that the following conditions are met:
26 | * Redistributions of source code must retain the above copyright
27 | notice, this list of conditions and the following disclaimer.
28 | * Redistributions in binary form must reproduce the above copyright
29 | notice, this list of conditions and the following disclaimer in the
30 | documentation and/or other materials provided with the distribution.
31 | * Neither the name of the nor the
32 | names of its contributors may be used to endorse or promote products
33 | derived from this software without specific prior written permission.
34 |
35 | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
36 | ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
37 | WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
38 | DISCLAIMED. IN NO EVENT SHALL BE LIABLE FOR ANY
39 | DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
40 | (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
41 | LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
42 | ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
43 | (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
44 | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
45 |
--------------------------------------------------------------------------------
/test/ConstrainedOptimizationInitSolver_test.js:
--------------------------------------------------------------------------------
1 |
2 | // Node.js: Load required libraries
3 | if ( typeof require !== "undefined" ) {
4 | chai = require( "chai" );
5 | ConjugateGradientSolver = require( "../client_src/js/ConjugateGradientSolver.js" ).ConjugateGradientSolver;
6 | ConstrainedOptimizationInitSolver = require( "../client_src/js/ConstrainedOptimizationInitSolver.js" ).ConstrainedOptimizationInitSolver;
7 | }
8 |
9 | describe( "ConstrainedOptimizationInitSolver:", function() {
10 |
11 | var A = [
12 | { i : 0, j : 0, value : 0.25 },
13 | { i : 1, j : 0, value : 0.50 },
14 | { i : 2, j : 0, value : 0.25 },
15 | { i : 1, j : 1, value : 0.25 },
16 | { i : 2, j : 1, value : 0.50 },
17 | { i : 3, j : 1, value : 0.25 },
18 | { i : 2, j : 2, value : 0.25 },
19 | { i : 3, j : 2, value : 0.75 },
20 | { i : 4, j : 2, value : 1.00 },
21 | { i : 5, j : 2, value : 0.75 },
22 | { i : 6, j : 2, value : 0.25 }
23 | ];
24 | var B = [
25 | 0.1000,
26 | 0.2000,
27 | 0.3000,
28 | 0.2000,
29 | 0.0500,
30 | 0.0300,
31 | 0.0200
32 | ];
33 |
34 | describe( "Denoise solver with given initial solution", function() {
35 | var optim = new ConstrainedOptimizationSolver();
36 | var x0 = [ 0.27605118829981684, 0.5521023765996337, 0.17184643510054942 ];
37 | var x = optim.solve( 7, 3, A, B, x0 );
38 |
39 | it( "should be a vector of length 3.", function() {
40 | chai.assert.equal( 3, x.length );
41 | });
42 | it( "should contain values [ 0.340, 0.639, 0.021 ].", function() {
43 | chai.assert.equal( true, Math.abs( 0.3400883599630634 - x[0] ) < 1e-15 ); // Arithmetic errors
44 | chai.assert.equal( true, Math.abs( 0.6388206334055929 - x[1] ) < 1e-15 ); // Arithmetic errors
45 | chai.assert.equal( true, Math.abs( 0.0210910066313437 - x[2] ) < 1e-15 ); // Arithmetic errors
46 | });
47 | it( "should be solved in 3 iterations", function() {
48 | chai.assert.equal( 20, optim.iters );
49 | });
50 | });
51 |
52 | describe( "Denoise solver", function() {
53 | var optim = new ConstrainedOptimizationInitSolver();
54 | var x = optim.solve( 7, 3, A, B );
55 |
56 | it( "should be a vector of length 3.", function() {
57 | chai.assert.equal( 3, x.length );
58 | });
59 | it( "should contain values [ 0.340, 0.639, 0.021 ].", function() {
60 | chai.assert.equal( true, Math.abs( 0.3400883599630634 - x[0] ) < 1e-15 ); // Arithmetic errors
61 | chai.assert.equal( true, Math.abs( 0.6388206334055929 - x[1] ) < 1e-15 ); // Arithmetic errors
62 | chai.assert.equal( true, Math.abs( 0.0210910066313437 - x[2] ) < 1e-15 ); // Arithmetic errors
63 | });
64 | it( "should be solved in 20 iterations", function() {
65 | chai.assert.equal( 20, optim.iters );
66 | });
67 | });
68 | });
69 |
--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.0001_0.001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.0001_0.001,Score
2 | E02,3,0.2070092097094113
3 | E02,2,0.08940093837669487
4 | E02,1,0.31985618561541324
5 | E02,0,0.03713899326785747
6 | E02,4,0.7959502533136995
7 | E11,3,0.007888580262885619
8 | E11,2,8.889274934441497E-4
9 | E11,1,0.002978818910939895
10 | E11,0,0.28199332092362456
11 | E11,4,0.002936906939447263
12 | E01,3,0.3386780027118485
13 | E01,2,0.021479756483555587
14 | E01,1,0.003399978131033512
15 | E01,0,0.010871311089036592
16 | E01,4,0.024293690724879996
17 | E10,3,0.05256830301499443
18 | E10,2,0.03782133064703039
19 | E10,1,0.002691462951421792
20 | E10,0,0.009317507040795609
21 | E10,4,0.060375509953010824
22 | E13,3,0.5325470175054551
23 | E13,2,0.05650340202280719
24 | E13,1,0.0072864215304955775
25 | E13,0,0.04198496677460102
26 | E13,4,0.7110187867873465
27 | E12,3,0.2781590930956737
28 | E12,2,0.02093091233873791
29 | E12,1,0.0030614938100360367
30 | E12,0,0.2608839786014567
31 | E12,4,0.5130810164963868
32 | E15,3,0.5667724676595005
33 | E15,2,0.04296853478857314
34 | E15,1,0.04591064915849701
35 | E15,0,0.04073144389048105
36 | E15,4,0.06867691431603648
37 | E06,3,0.08577697025329774
38 | E06,2,0.021258708883823245
39 | E06,1,0.013209170115793334
40 | E06,0,0.08711976857094249
41 | E06,4,0.1048221389488569
42 | E14,3,0.017059698843359814
43 | E14,2,0.026995384798084263
44 | E14,1,0.1352425823850029
45 | E14,0,0.02223413646076884
46 | E14,4,0.029352733169300392
47 | E05,3,0.09309267714422949
48 | E05,2,0.007553600769016424
49 | E05,1,0.00795878488606978
50 | E05,0,0.858836268436724
51 | E05,4,0.007197875049272677
52 | E17,3,0.5863190866421478
53 | E17,2,0.003105869429431903
54 | E17,1,0.010980411932608217
55 | E17,0,0.026722916376655484
56 | E17,4,0.033302342413477036
57 | E04,3,0.006137464890480744
58 | E04,2,0.0019572483592195447
59 | E04,1,0.003615770669637732
60 | E04,0,0.008804787085333629
61 | E04,4,0.8272812983202564
62 | E16,3,0.027386279802307838
63 | E16,2,0.003938126964134532
64 | E16,1,0.14935893439402434
65 | E16,0,0.004320453980269263
66 | E16,4,0.020419785595414092
67 | E03,3,0.008456971613744143
68 | E03,2,0.0029246993293333278
69 | E03,1,0.20019758023085926
70 | E03,0,0.03294624206097301
71 | E03,4,0.5233421601013274
72 | E18,3,0.14048403363970716
73 | E18,2,0.03661561455280696
74 | E18,1,0.1989578505337811
75 | E18,0,0.05205298786109303
76 | E18,4,0.0300477311225097
77 | E09,3,0.26294119524249643
78 | E09,2,0.010461497937120855
79 | E09,1,0.0025031556265149597
80 | E09,0,0.08687688452867771
81 | E09,4,0.004199988957824007
82 | E08,3,0.10707013672910042
83 | E08,2,0.021005135141064325
84 | E08,1,0.778528650648363
85 | E08,0,0.2611333214767646
86 | E08,4,0.09518905911780273
87 | E07,3,0.1488244150229892
88 | E07,2,0.01850823173441514
89 | E07,1,0.9533180385934106
90 | E07,0,0.131353278288165
91 | E07,4,0.07237803053977157
92 |
--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.001_0.0001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.001_0.0001,Score
2 | E02,3,0.4179094724334204
3 | E02,2,0.01856357599644173
4 | E02,1,0.09086652479827899
5 | E02,0,0.277963355550639
6 | E02,4,0.7828965391345695
7 | E11,3,0.0031611349315934342
8 | E11,2,0.008056712411893976
9 | E11,1,0.001004261306759365
10 | E11,0,0.25032060288055746
11 | E11,4,0.004533012858859921
12 | E01,3,0.0036219826685986323
13 | E01,2,0.32891072858000897
14 | E01,1,0.020711163328186885
15 | E01,0,0.06025357179952465
16 | E01,4,0.021557402843373184
17 | E10,3,0.0019592612252963756
18 | E10,2,0.037392226538443846
19 | E10,1,0.0392222394412162
20 | E10,0,0.053970143967137285
21 | E10,4,0.011908698490299357
22 | E13,3,0.00733402185276693
23 | E13,2,0.6746444951124673
24 | E13,1,0.0716297609658561
25 | E13,0,0.04820408187871755
26 | E13,4,0.2055453942868853
27 | E12,3,0.02170343415775093
28 | E12,2,0.13439686084366614
29 | E12,1,0.022778613001233815
30 | E12,0,0.0604780397605455
31 | E12,4,0.7003719193404804
32 | E15,3,0.04006469539561005
33 | E15,2,0.4681294134663684
34 | E15,1,0.04228481430262515
35 | E15,0,0.1644354845671948
36 | E15,4,0.04685687124811467
37 | E06,3,0.009583599740508866
38 | E06,2,0.06603052548960689
39 | E06,1,0.019090484196715274
40 | E06,0,0.012662716481989482
41 | E06,4,0.3975404775237043
42 | E14,3,0.07178660557337752
43 | E14,2,0.037277124008267964
44 | E14,1,0.02845382099564467
45 | E14,0,0.07091195213348009
46 | E14,4,0.02653961862066831
47 | E05,3,0.004796001766975905
48 | E05,2,0.841907866531914
49 | E05,1,0.00582373772944818
50 | E05,0,0.16554026962697188
51 | E05,4,0.056372870739154986
52 | E17,3,0.014683222221853238
53 | E17,2,0.45572450384006924
54 | E17,1,0.003048839141275057
55 | E17,0,0.0560226530103656
56 | E17,4,0.03880031410178861
57 | E04,3,0.0031960241854861494
58 | E04,2,0.027133814767064793
59 | E04,1,0.0017882600566071025
60 | E04,0,0.009291616360388598
61 | E04,4,0.9290811144648546
62 | E16,3,0.04438532908813562
63 | E16,2,0.02924864464514314
64 | E16,1,0.006287901578608011
65 | E16,0,0.008441980058675167
66 | E16,4,0.013866506364381833
67 | E03,3,0.6407301294271355
68 | E03,2,0.016164014816405687
69 | E03,1,0.0019823669632731094
70 | E03,0,0.02085097828168429
71 | E03,4,0.06319768400758512
72 | E18,3,0.03751199237069716
73 | E18,2,0.06569235271123589
74 | E18,1,0.04295630528550649
75 | E18,0,0.2425740855375809
76 | E18,4,0.007312661621346152
77 | E09,3,0.012912241795480875
78 | E09,2,0.11134424261494597
79 | E09,1,0.010330271685507457
80 | E09,0,0.037782554433864024
81 | E09,4,0.028936880602673465
82 | E08,3,0.8204590441161829
83 | E08,2,0.0488270048004051
84 | E08,1,0.022606958822578006
85 | E08,0,0.026405454660485238
86 | E08,4,0.024273004257280503
87 | E07,3,0.9547822985508724
88 | E07,2,0.024338439816235298
89 | E07,1,0.0219843968183975
90 | E07,0,0.07419301552912647
91 | E07,4,0.018054731862167703
92 |
--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.01_0.0001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.01_0.0001,Score
2 | E02,3,0.10758016029124327
3 | E02,2,0.009029358306750805
4 | E02,1,0.36309327970742866
5 | E02,0,0.2835234191315103
6 | E02,4,0.2644538217786825
7 | E11,3,7.493511525356327E-4
8 | E11,2,0.014996062162932682
9 | E11,1,0.0037254995745540993
10 | E11,0,0.006218229938896265
11 | E11,4,0.03198589216729028
12 | E01,3,0.013849349290294808
13 | E01,2,0.02546474610325716
14 | E01,1,0.004508871784335847
15 | E01,0,0.4201891505685305
16 | E01,4,0.1304577450574615
17 | E10,3,0.029877165568649965
18 | E10,2,0.006686869838583333
19 | E10,1,0.007615843502189075
20 | E10,0,0.010879355101517921
21 | E10,4,0.19442808176733264
22 | E13,3,0.04771373941260559
23 | E13,2,0.9316888600031171
24 | E13,1,0.016137912841714827
25 | E13,0,0.10637186833505667
26 | E13,4,0.08345983521933825
27 | E12,3,0.01606266618093599
28 | E12,2,0.7068082119553659
29 | E12,1,0.001427012081238235
30 | E12,0,0.22473925693227945
31 | E12,4,0.18634078176462696
32 | E15,3,0.03318424886805195
33 | E15,2,0.019286949235324986
34 | E15,1,0.05814943864554378
35 | E15,0,0.018745999070615093
36 | E15,4,0.39690324407412647
37 | E06,3,0.0192300518817974
38 | E06,2,0.046264473018642616
39 | E06,1,0.005106745106870743
40 | E06,0,0.5244736136197494
41 | E06,4,0.007256222053171313
42 | E14,3,0.02822847882786173
43 | E14,2,0.005061624800865234
44 | E14,1,0.11878550972576055
45 | E14,0,0.02417402752188903
46 | E14,4,0.00684035764516999
47 | E05,3,0.003619304047264071
48 | E05,2,0.7288297103108754
49 | E05,1,0.00926187396970601
50 | E05,0,0.09959774077337907
51 | E05,4,0.1138273578922296
52 | E17,3,0.0031108390274536026
53 | E17,2,0.3374526343068273
54 | E17,1,0.025332045149965576
55 | E17,0,0.02043357732899858
56 | E17,4,0.00915034350398709
57 | E04,3,0.020013379409669074
58 | E04,2,0.005443285781843182
59 | E04,1,0.002214117022393011
60 | E04,0,0.007879763358922785
61 | E04,4,0.0024539844117059924
62 | E16,3,0.0037997657022227713
63 | E16,2,0.007119600665022093
64 | E16,1,0.06020264714783992
65 | E16,0,0.36125750730821465
66 | E16,4,0.0017804771239804632
67 | E03,3,0.0023501143271829816
68 | E03,2,0.04977681996822806
69 | E03,1,0.4170176161470343
70 | E03,0,0.668278596405832
71 | E03,4,0.0027503477553876394
72 | E18,3,0.016417379344466354
73 | E18,2,0.00938638912903642
74 | E18,1,0.16390279157776835
75 | E18,0,0.03214013817264014
76 | E18,4,0.5443073200440863
77 | E09,3,0.007358943859517768
78 | E09,2,0.007811684058856934
79 | E09,1,0.003322513887928423
80 | E09,0,0.1236159987635073
81 | E09,4,0.11708116198529435
82 | E08,3,0.014207931455802044
83 | E08,2,0.11230227423857564
84 | E08,1,0.7869527802679515
85 | E08,0,0.241774679667336
86 | E08,4,0.17564855809509314
87 | E07,3,0.013724305784876972
88 | E07,2,0.09539165213641947
89 | E07,1,0.9526407985566674
90 | E07,0,0.043901736012076996
91 | E07,4,0.1764682116804355
92 |
--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.0001_0.0001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.0001_0.0001,Score
2 | E02,3,0.0564620420325305
3 | E02,2,0.7321946293284739
4 | E02,1,0.30551304375559757
5 | E02,0,0.09339219391080261
6 | E02,4,0.025165509205257
7 | E11,3,0.006345813857043476
8 | E11,2,0.0030973033630237656
9 | E11,1,0.022231135734551582
10 | E11,0,9.893523039743773E-4
11 | E11,4,0.03701143123451612
12 | E01,3,0.7381491851869786
13 | E01,2,0.01614764965326001
14 | E01,1,0.006628706087036731
15 | E01,0,0.014894966732847317
16 | E01,4,0.04910780803148808
17 | E10,3,0.05274258946587813
18 | E10,2,0.05426133400299471
19 | E10,1,0.0014952424157593717
20 | E10,0,0.03626652518507472
21 | E10,4,0.03065229654134254
22 | E13,3,0.031686158408211075
23 | E13,2,0.7754140434786312
24 | E13,1,0.030673487395578163
25 | E13,0,0.032252530205377855
26 | E13,4,0.8556024625489741
27 | E12,3,0.16444900010967517
28 | E12,2,0.44792243347753746
29 | E12,1,0.0016136853128751406
30 | E12,0,0.020543805980920034
31 | E12,4,0.22342391078035292
32 | E15,3,0.09807337560791002
33 | E15,2,0.089435507137752
34 | E15,1,0.03732569989314821
35 | E15,0,0.04341861619763113
36 | E15,4,0.2364350567450401
37 | E06,3,0.5636794081664007
38 | E06,2,0.030812479494820078
39 | E06,1,0.011570767814170293
40 | E06,0,0.017946361321642713
41 | E06,4,0.05087570093421848
42 | E14,3,0.07332008616576535
43 | E14,2,0.024334347120048942
44 | E14,1,0.09213883504037615
45 | E14,0,0.027360693642143323
46 | E14,4,0.008622060229501228
47 | E05,3,0.03760377483746131
48 | E05,2,0.007437030160374703
49 | E05,1,0.005647820594177964
50 | E05,0,0.006339152957221977
51 | E05,4,0.8219986297433224
52 | E17,3,0.06214579153455349
53 | E17,2,0.027736763283649928
54 | E17,1,0.011360543769640298
55 | E17,0,0.0027291353320445313
56 | E17,4,0.414064274155099
57 | E04,3,0.007168927779152567
58 | E04,2,0.7747726555450725
59 | E04,1,0.006243963153667746
60 | E04,0,0.0016357475859486784
61 | E04,4,0.004859963436168964
62 | E16,3,0.35630198140122415
63 | E16,2,0.003617373123763001
64 | E16,1,0.08481667729025738
65 | E16,0,0.0036621757670221218
66 | E16,4,0.011515444226105589
67 | E03,3,0.04987954636257494
68 | E03,2,0.48215791334936914
69 | E03,1,0.11930030510637875
70 | E03,0,0.002879233788639942
71 | E03,4,0.04660655845016785
72 | E18,3,0.038276750685966386
73 | E18,2,0.020781016406685077
74 | E18,1,0.2059322698132214
75 | E18,0,0.037780162453273106
76 | E18,4,0.013708233592775924
77 | E09,3,0.42319672396857855
78 | E09,2,0.006322100046681358
79 | E09,1,0.004010727350756676
80 | E09,0,0.00904083644930912
81 | E09,4,0.017045275023579665
82 | E08,3,0.1021972615200304
83 | E08,2,0.09868000087909083
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.001_0.01.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.001_0.01,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.001_0.1.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.001_0.1,Score
2 | E02,3,0.34478654701142786
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.01_0.1.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.01_0.1,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.1_0.001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.1_0.001,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.1_0.1.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.1_0.1,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.0001_0.01.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.0001_0.01,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.001_0.001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.001_0.001,Score
2 | E02,3,0.014253155761371804
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.01_0.001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.01_0.001,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.1_0.0001.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.1_0.0001,Score
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--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.1_0.01.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.1_0.01,Score
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40 | E06,0,0.00845760222592528
41 | E06,4,0.024202254079910085
42 | E14,3,0.04312346622831296
43 | E14,2,0.028005190455790075
44 | E14,1,0.009006353160978465
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46 | E14,4,0.01354096617283288
47 | E05,3,0.043028884276317465
48 | E05,2,0.0050824686114485824
49 | E05,1,0.8318577227234806
50 | E05,0,0.011309457961653498
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52 | E17,3,0.04231977455420635
53 | E17,2,0.0036415418059681233
54 | E17,1,0.009409431673293172
55 | E17,0,0.012174600635984273
56 | E17,4,0.09921338227973196
57 | E04,3,0.007528218550694491
58 | E04,2,0.019762069396191493
59 | E04,1,0.008979838260403336
60 | E04,0,0.005633281335237681
61 | E04,4,0.002291385919010589
62 | E16,3,0.2092321247532329
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65 | E16,0,0.0036780446462095543
66 | E16,4,0.0027344928581517548
67 | E03,3,0.03797169340062796
68 | E03,2,0.0020088452084136912
69 | E03,1,0.10553551086980802
70 | E03,0,0.6208367593551941
71 | E03,4,0.008471115841386514
72 | E18,3,0.036801706778050225
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75 | E18,0,0.19154996298570606
76 | E18,4,0.4791913159315426
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80 | E09,0,0.0024542312851041238
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82 | E08,3,0.048697671840734744
83 | E08,2,0.015467426821274964
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86 | E08,4,0.14996747077549807
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88 | E07,2,0.018525133884614717
89 | E07,1,0.08397348950938507
90 | E07,0,0.9472068169799015
91 | E07,4,0.12808034239632177
92 |
--------------------------------------------------------------------------------
/data/comparisons/userE--lda_5_0.0001_0.1.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.0001_0.1,Score
2 | E02,3,0.04571713403857735
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64 | E16,1,0.0589503429033545
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82 | E08,3,0.015373599066758665
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86 | E08,4,0.1384779790851972
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89 | E07,1,0.9527581030502136
90 | E07,0,0.013843742696968754
91 | E07,4,0.1422361417911808
92 |
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/data/comparisons/userE--lda_5_0.01_0.01.csv:
--------------------------------------------------------------------------------
1 | silver-infovis-topics--userE.txt,lda_5_0.01_0.01,Score
2 | E02,3,0.4290523979484158
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13 | E01,2,0.015262176854049797
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92 |
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