semsim/TrainingSample.java at master · shainer/semsim · GitHub

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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}
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/*
 * Container class for a training sample (feature array + similarity score).
 *
 * Copyright (C) 2013 Lisa Vitolo <lisavitolo90@gmail.com>
 *
 * This program is free software; you can redistribute it and/or
 * modify it under the terms of the Creative Commons
 * Attribution-NonCommercial-ShareAlike 3.0 license.
 * You should have received a copy of the license with this product.
 * Otherwise, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
 */

publicclassTrainingSample
{
publicdouble[] features;
publicdoubletarget;

publicTrainingSample(double[] features, doubletarget)
 {
this.features = features;
this.target = target;
 }

@OverridepublicStringtoString()
 {
Strings = "[";

for (inti = 0; i < features.length; i++) {
s += features[i] + ", ";
 }

s += "] -> " + target + "\n";
returns;
 }
}