repo stringlengths 1 191 ⌀ | file stringlengths 23 351 | code stringlengths 0 5.32M | file_length int64 0 5.32M | avg_line_length float64 0 2.9k | max_line_length int64 0 288k | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
JSAT | JSAT-master/JSAT/src/jsat/classifiers/bayesian/graphicalmodel/DirectedGraph.java |
package jsat.classifiers.bayesian.graphicalmodel;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
/**
* Provides a class representing an undirected graph. Mutations to the graph should be done
* exclusively through the methods provided b... | 6,618 | 27.530172 | 137 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/bayesian/graphicalmodel/DiscreteBayesNetwork.java |
package jsat.classifiers.bayesian.graphicalmodel;
import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifi... | 5,367 | 34.084967 | 134 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/bayesian/graphicalmodel/K2NetworkLearner.java |
package jsat.classifiers.bayesian.graphicalmodel;
import java.util.Set;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.DataPoint;
import jsat.utils.IntList;
import jsat.utils.IntSet;
import jsat.utils.ListUtils;
import static java.lang.Math.*;
import static jsat.math.SpecialMath.*;
/**
* An... | 8,410 | 33.052632 | 173 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/AdaBoostM1.java |
package jsat.classifiers.boosting;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint... | 7,301 | 31.891892 | 134 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/ArcX4.java | package jsat.classifiers.boosting;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;
import jsat.parameters.Parameterized;
import jsat.utils.concurrent.ParallelUtils;... | 5,586 | 27.505102 | 104 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/Bagging.java |
package jsat.classifiers.boosting;
import java.util.*;
import java.util.concurrent.*;
import java.util.logging.Level;
import java.util.logging.Logger;
import jsat.classifiers.*;
import jsat.classifiers.knn.NearestNeighbour;
import jsat.classifiers.trees.DecisionTree;
import jsat.math.OnLineStatistics;
import jsat.par... | 19,898 | 40.370062 | 161 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/EmphasisBoost.java | package jsat.classifiers.boosting;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.classifiers.trees.DecisionTree;
import jsat.distributions.Distribution;
import jsat.... | 9,641 | 30.821782 | 103 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/LogitBoost.java |
package jsat.classifiers.boosting;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;
import jsat.classifiers.DataPointPair;
i... | 7,327 | 30.316239 | 144 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/LogitBoostPL.java |
package jsat.classifiers.boosting;
import java.util.List;
import java.util.ArrayList;
import jsat.classifiers.ClassificationDataSet;
import jsat.regression.Regressor;
import static jsat.utils.SystemInfo.*;
import jsat.utils.concurrent.ParallelUtils;
/**
* An extension to the original LogitBoost algorithm for parall... | 3,250 | 33.585106 | 150 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/ModestAdaBoost.java | package jsat.classifiers.boosting;
import java.util.*;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.parameters.Parameterized;
import jsat.utils.DoubleList;
/**
* Modest Ada Boost is a generalization of Discrete Ada Boost that attempts to
* reduce the generalizat... | 7,535 | 30.140496 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/SAMME.java |
package jsat.classifiers.boosting;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;... | 5,382 | 32.02454 | 126 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/Stacking.java |
package jsat.classifiers.boosting;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import jsat.classifiers.*;
import jsat.classifiers.linear.LinearBatch;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
import jsat.regression.RegressionDataSet;
import jsat.regression.Regressor;
/**... | 14,141 | 37.851648 | 139 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/UpdatableStacking.java |
package jsat.classifiers.boosting;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import jsat.classifiers.*;
import jsat.classifiers.linear.LinearBatch;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
import jsat.regression.BaseUpdateableRegressor;
import jsat.regression.Regressio... | 10,558 | 36.576512 | 131 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/Wagging.java | package jsat.classifiers.boosting;
import java.util.Random;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.clas... | 10,669 | 29.485714 | 132 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/boosting/WaggingNormal.java | package jsat.classifiers.boosting;
import jsat.classifiers.Classifier;
import jsat.distributions.ContinuousDistribution;
import jsat.distributions.Normal;
import jsat.regression.Regressor;
/**
* Wagging using the {@link Normal} distribution.
*
* @author Edward Raff
*/
public class WaggingNormal extends Wagging
... | 2,871 | 25.592593 | 85 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/calibration/BinaryCalibration.java |
package jsat.classifiers.calibration;
import java.util.Collections;
import java.util.List;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;
import jsat.classifiers.DataPointPair;
import jsat.parameters.Parameter.ParameterHolder;
import jsat.paramete... | 7,807 | 32.947826 | 138 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/calibration/BinaryScoreClassifier.java |
package jsat.classifiers.calibration;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;
/**
* Many algorithms linear a binary separation between two classes <i>A</i> and
* <i>B</i> by representing the target labels with a {@code -1} ad {@code 1}. At
* prediction, the output is a real valued ... | 1,086 | 32.96875 | 80 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/calibration/IsotonicCalibration.java |
package jsat.classifiers.calibration;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
/**
* Isotonic Calibration is non-parametric, and only assumes that the underlying
* distri... | 6,031 | 28.714286 | 88 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/calibration/PlattCalibration.java |
package jsat.classifiers.calibration;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import static jsat.math.FastMath.*;
/**
* Platt Calibration essentially performs logistic regression on the output
* scores of a model against their class labels. While first described for SVMs,
... | 5,926 | 31.565934 | 86 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/AUC.java | package jsat.classifiers.evaluation;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
/**
* Computes the Area Under the ROC Curve as an evaluation of classification
* scores. The AUC takes <i>O(n lo... | 3,658 | 23.557047 | 133 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/Accuracy.java | package jsat.classifiers.evaluation;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
/**
* Evaluates a classifier based on its accuracy in predicting the correct class.
*
* @author Edward Raff
*/
public class Accuracy implements ClassificationScore
{
private static final l... | 1,721 | 17.923077 | 86 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/BalancedAccuracy.java | package jsat.classifiers.evaluation;
import java.util.Arrays;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
/**
* This class implements the Balanced Accuracy metric. If the number of test
* points has an equal total weight for each class, then Balanced Accuracy
* returns the ... | 3,497 | 26.761905 | 115 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/ClassificationScore.java | package jsat.classifiers.evaluation;
import java.io.Serializable;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
/**
* This interface defines the contract for evaluating or "scoring" the results
* on a classification problem. <br>
* <br>
* All classification scores must over... | 2,601 | 32.358974 | 87 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/F1Score.java | package jsat.classifiers.evaluation;
/**
* The F1 score is the harmonic mean of {@link Precision} and
* {@link Recall}. This score is only valid for binary
* classification problems.
*
* @author Edward Raff
*/
public class F1Score extends SimpleBinaryClassMetric
{
private static final long serialVersionUI... | 1,078 | 16.688525 | 112 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/FbetaScore.java | package jsat.classifiers.evaluation;
/**
* The F<sub>β</sub> score is the generalization of {@link F1Score}, where
* β indicates the level of preference for precision over recall.
* This score is only valid for binary classification problems.
*
* @author Edward Raff
*/
public class FbetaScore exte... | 1,796 | 22.96 | 112 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/Kappa.java | package jsat.classifiers.evaluation;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.linear.DenseMatrix;
import jsat.linear.Matrix;
/**
* Evaluates a classifier based on the Kappa statistic.
*
* @author Edward Raff
*/
public class Kappa implements ClassificationS... | 2,769 | 23.298246 | 112 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/LogLoss.java | package jsat.classifiers.evaluation;
import java.util.Arrays;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
/**
* This computes the multi-class Log Loss<br>
* - 1/N <big>Σ</big><sub>∀ i ∈ N</sub> log(p<sub>i, y</sub>)
* <br>
* <br>
* Where <i>N</i> is the ... | 2,887 | 23.066667 | 116 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/MatthewsCorrelationCoefficient.java | package jsat.classifiers.evaluation;
/**
* Evaluates a classifier based on Mathews Correlation Coefficient
*
* @author Edward Raff
*/
public class MatthewsCorrelationCoefficient extends SimpleBinaryClassMetric
{
private static final long serialVersionUID = 7102318546460007008L;
public MatthewsCorrelationCoef... | 1,276 | 19.596774 | 112 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/Precision.java | package jsat.classifiers.evaluation;
/**
* Evaluates a classifier based on the Precision, where the class of index 0
* is considered the positive class. This score is only valid for binary
* classification problems.
*
* @author Edward Raff
*/
public class Precision extends SimpleBinaryClassMetric
{
privat... | 1,116 | 17.311475 | 112 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/Recall.java | package jsat.classifiers.evaluation;
/**
* Evaluates a classifier based on the Recall rate, where the class of index 0
* is considered the positive class. This score is only valid for binary
* classification problems.
*
* @author Edward Raff
*/
public class Recall extends SimpleBinaryClassMetric
{
private... | 1,232 | 17.132353 | 112 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/evaluation/SimpleBinaryClassMetric.java | package jsat.classifiers.evaluation;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
/**
* This is a base class for scores that can be computed from simple counts of
* the true positives, true negatives, false positives, and false negatives. The
* class with index zero will be... | 2,216 | 21.85567 | 86 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/imbalance/BorderlineSMOTE.java | /*
* Copyright (C) 2017 Edward Raff
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distri... | 14,309 | 41.844311 | 152 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/imbalance/SMOTE.java | /*
* Copyright (C) 2017 Edward Raff
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distri... | 11,627 | 34.559633 | 152 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/knn/DANN.java |
package jsat.classifiers.knn;
import static java.lang.Math.*;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.distributions.Distribution;
import jsat.distributions.discrete.UniformDiscrete;
import jsat.linear.*;
import jsat.linear... | 15,096 | 33.626147 | 120 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/knn/LWL.java | package jsat.classifiers.knn;
import java.util.*;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.classifiers.bayesian.NaiveBayesUpdateable;
import jsat.distributions.Distribution;
import jsat.distributions.discrete.UniformDiscrete;
import jsat.distributions.empirical.kernelfunc.*;
import jsat.exceptions.U... | 12,038 | 34.099125 | 128 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/knn/NearestNeighbour.java |
package jsat.classifiers.knn;
import java.util.*;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.distributions.Distribution;
import jsat.distributions.discrete.UniformDiscrete;
import jsat.exceptions.FailedToFitException;
import jsat.exceptions.UntrainedModelException;
import jsat.linear.Vec;
import jsat... | 9,935 | 32.009967 | 135 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/ALMA2.java | package jsat.classifiers.linear;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.exceptions.FailedToFitException;
import jsat.exceptions.UntrainedModelException;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
/**
* Provid... | 7,046 | 25.592453 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/AROW.java | package jsat.classifiers.linear;
import java.util.List;
import jsat.DataSet;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.classifiers.calibration... | 8,912 | 27.567308 | 123 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/BBR.java | package jsat.classifiers.linear;
import java.util.Arrays;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;
import jsat.exceptions.FailedToFitException;
import js... | 17,716 | 31.330292 | 184 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/LinearBatch.java | package jsat.classifiers.linear;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.*;
import java.util.concurrent.atomic.DoubleAdder;
import java.util.logging.Level;
import java.util.logging.Logger;
import jsat.DataSet;
import jsat.SimpleWeightVectorModel;
import j... | 23,065 | 31.170153 | 169 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/LinearL1SCD.java |
package jsat.classifiers.linear;
import java.util.Arrays;
import java.util.Random;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.DataPoint;
import jsat.exceptions.FailedToFitException... | 9,899 | 32.559322 | 123 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/LinearSGD.java | package jsat.classifiers.linear;
import java.util.Arrays;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.SimpleWeightVectorModel;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
... | 17,002 | 30.255515 | 140 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/LinearTools.java | package jsat.classifiers.linear;
import java.util.List;
import jsat.classifiers.ClassificationDataSet;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
import static java.lang.Math.*;
import jsat.linear.IndexValue;
/**
* This class provides static helper methods that may be useful for various
* linear models... | 4,001 | 34.105263 | 142 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/LogisticRegressionDCD.java | package jsat.classifiers.linear;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.svm.PlattSMO;
import jsat.distributions.Distribution;
... | 10,432 | 28.22409 | 155 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/NHERD.java | package jsat.classifiers.linear;
import java.util.List;
import jsat.DataSet;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.classifiers.calibration... | 10,601 | 28.780899 | 124 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/NewGLMNET.java | package jsat.classifiers.linear;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.*;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
import jsat.utils.IntList;
import jsat.utils.ListUtils;
import static java.lang.Math.*;
import java.util.*;
import jsat.DataSet;
import... | 36,460 | 35.461 | 223 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/OWA.java | /*
* This code contributed under the public domain.
*/
package jsat.classifiers.linear;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import jsat.DataSet;
import jsa... | 21,628 | 33.998382 | 241 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/PassiveAggressive.java | package jsat.classifiers.linear;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.Distribution;
import jsat.distributions.Exponent... | 9,497 | 26.293103 | 146 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/ROMMA.java | package jsat.classifiers.linear;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.exceptions.FailedToFitException;
import jsat.exceptions.UntrainedModelException;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
/**
* Provid... | 5,785 | 24.946188 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/SCD.java | package jsat.classifiers.linear;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.exceptions.UntrainedModelException;
import jsat.linear.DenseVector;
import jsat.linear.IndexValue;
import jsat.linear.Vec;
import jsat.lossfuncti... | 7,382 | 28.770161 | 125 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/SCW.java | package jsat.classifiers.linear;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.distributions.Normal;
import jsat.exceptions.FailedToFitException;
import jsat.linear.DenseVector;
impor... | 13,748 | 27.884454 | 122 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/SDCA.java | /*
* Copyright (C) 2017 Edward Raff <Raff.Edward@gmail.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
... | 21,983 | 32.978362 | 236 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/SMIDAS.java | package jsat.classifiers.linear;
import static java.lang.Math.*;
import java.util.Arrays;
import java.util.Random;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.DataPoint;
import jsat.... | 10,704 | 32.142415 | 124 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/SPA.java | package jsat.classifiers.linear;
import static java.lang.Math.*;
import java.util.*;
import jsat.DataSet;
import jsat.SimpleWeightVectorModel;
import jsat.classifiers.*;
import jsat.distributions.Distribution;
import jsat.linear.DenseVector;
import jsat.linear.Vec;
import jsat.parameters.Parameter;
import jsat.paramet... | 9,206 | 30.10473 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/STGD.java | package jsat.classifiers.linear;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.exceptions.FailedToFitException;
import jsat.linear.DenseVector;
import jsat.linear.In... | 9,087 | 27.311526 | 144 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/StochasticMultinomialLogisticRegression.java | package jsat.classifiers.linear;
import static java.lang.Math.*;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.SimpleWeightVectorModel;
import jsat.classifiers.*;
import jsat.exceptions.FailedToFitException;
import jsat.exceptions.UntrainedModelException;
import jsat.linear.ConstantVecto... | 24,468 | 31.844295 | 130 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/StochasticSTLinearL1.java | package jsat.classifiers.linear;
import java.util.Iterator;
import java.util.List;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.Classifier;
import jsat.exceptions.FailedToFitException;
import jsat.linear.IndexValue;
import jsat.linear.Vec;
import jsat.lossfun... | 13,919 | 28.55414 | 115 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/ALMA2K.java | package jsat.classifiers.linear.kernelized;
import java.util.*;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.classifiers.linear.ALMA2;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.Distribution;
import jsat.distributions.Uniform;
import jsat.distributions.kernels.K... | 9,841 | 29.660436 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/BOGD.java | package jsat.classifiers.linear.kernelized;
import java.util.*;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.Distribution;
import jsat.distributions.LogUniform;
import jsat.distributions.kernels.KernelTrick;
import jsat.linear.Vec;... | 13,521 | 31.195238 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/CSKLR.java | package jsat.classifiers.linear.kernelized;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.distributions.ker... | 15,365 | 32.116379 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/CSKLRBatch.java | package jsat.classifiers.linear.kernelized;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Random;
import jsat.DataSet;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classif... | 10,307 | 30.141994 | 107 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/DUOL.java | package jsat.classifiers.linear.kernelized;
import static java.lang.Math.*;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import jsat.DataSet;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat... | 11,867 | 30.648 | 129 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/Forgetron.java | package jsat.classifiers.linear.kernelized;
import static java.lang.Math.*;
import java.util.Arrays;
import java.util.List;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.classifiers.c... | 8,502 | 27.343333 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/KernelSGD.java | package jsat.classifiers.linear.kernelized;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
impo... | 14,636 | 30.958515 | 164 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/OSKL.java | package jsat.classifiers.linear.kernelized;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Random;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.Distribution;
import jsat.distributions.L... | 13,583 | 30.084668 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/linear/kernelized/Projectron.java | package jsat.classifiers.linear.kernelized;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.classifiers.calib... | 10,643 | 31.1571 | 113 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/BackPropagationNet.java |
package jsat.classifiers.neuralnetwork;
import java.io.Serializable;
import static java.lang.Math.*;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.classifi... | 29,829 | 29.976116 | 130 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/DReDNetSimple.java |
package jsat.classifiers.neuralnetwork;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
... | 7,462 | 31.168103 | 142 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/LVQ.java |
package jsat.classifiers.neuralnetwork;
import static java.lang.Math.max;
import static java.lang.Math.min;
import java.util.*;
import jsat.classifiers.*;
import jsat.clustering.SeedSelectionMethods;
import jsat.clustering.SeedSelectionMethods.SeedSelection;
import jsat.linear.Vec;
import jsat.linear.VecPaired;
imp... | 21,824 | 34.258481 | 116 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/LVQLLC.java | package jsat.classifiers.neuralnetwork;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.Classifier;
import jsat.classifiers.DataPoint;
import jsat.classifie... | 9,254 | 38.892241 | 177 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/Perceptron.java |
package jsat.classifiers.neuralnetwork;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.BaseUpdateableClassifier;
import jsat.classifiers.CategoricalData;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.DataPoint;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.... | 3,831 | 24.546667 | 114 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/RBFNet.java | package jsat.classifiers.neuralnetwork;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Random;
import java.util.Set;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.atomic.AtomicIntegerArray;
import jsat... | 30,513 | 37.821883 | 214 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/SGDNetworkTrainer.java |
package jsat.classifiers.neuralnetwork;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Random;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import jav... | 26,906 | 31.614545 | 165 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/SOM.java | package jsat.classifiers.neuralnetwork;
import static java.lang.Math.*;
import java.util.*;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.logging.Level;
import java.util.logging.Logger;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.distributions... | 19,934 | 34.789946 | 232 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/ActivationLayer.java | package jsat.classifiers.neuralnetwork.activations;
import java.io.Serializable;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This interface defines a type of activation layer for use in a Neural Network
* @author Edward Raff
*/
public interface ActivationLayer extends Serializable
{
/**
* Com... | 3,606 | 48.410959 | 109 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/LinearLayer.java | package jsat.classifiers.neuralnetwork.activations;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
*
* @author Edward Raff
*/
public class LinearLayer implements ActivationLayer
{
private static final long serialVersionUID = -4040058095010471379L;
@Override
public void activate(Vec input, Vec outp... | 916 | 18.510638 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/ReLU.java | package jsat.classifiers.neuralnetwork.activations;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This Activation Layer is for <b>Re</b>ctified <b>L</b>inear <b>U</b>nits. A
* ReLU activation is simply f(x) = max(0, x), and is thus very fast to compute.
* <br>
* See: Nair, V., & Hinton, G. E. (2010... | 1,899 | 27.358209 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/SigmoidLayer.java | package jsat.classifiers.neuralnetwork.activations;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This layer provides the standard Sigmoid activation f(x) =
* 1/(1+exp(-x))
*
* @author Edward Raff
*/
public class SigmoidLayer implements ActivationLayer
{
private static final long serialVersionUID ... | 1,647 | 24.353846 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/SoftSignLayer.java | package jsat.classifiers.neuralnetwork.activations;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This provides the Soft Sign activation function f(x) = x/(1+abs(x)), which is
* similar to the {@link TanhLayer tanh} activation and has a min/max of -1 and
* 1. However it is significantly faster to compu... | 2,257 | 29.106667 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/SoftmaxLayer.java | package jsat.classifiers.neuralnetwork.activations;
import jsat.linear.Matrix;
import jsat.linear.Vec;
import jsat.math.MathTricks;
/**
* This activation layer is meant to be used as the top-most layer for
* classification problems, and uses the softmax function (also known as cross
* entropy) to convert the inpu... | 1,629 | 26.627119 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/activations/TanhLayer.java | package jsat.classifiers.neuralnetwork.activations;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This layer provides the standard tanh activation f(x) =
* tanh(x)
*
* @author Edward Raff
*/
public class TanhLayer implements ActivationLayer
{
private static final long serialVersionUID = -836900834... | 1,613 | 24.619048 | 108 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/initializers/BiastInitializer.java | package jsat.classifiers.neuralnetwork.initializers;
import java.io.Serializable;
import java.util.Random;
import jsat.linear.Vec;
/**
* This interface specifies the method of initializing the bias connections in a
* neural network.
* @author Edward Raff
*/
public interface BiastInitializer extends Serializable
... | 723 | 27.96 | 80 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/initializers/ConstantInit.java | package jsat.classifiers.neuralnetwork.initializers;
import java.util.Random;
import jsat.linear.ConstantVector;
import jsat.linear.Vec;
/**
* This initializes all bias values to a single constant value
* @author Edward Raff
*/
public class ConstantInit implements BiastInitializer
{
private static final long ser... | 1,194 | 19.254237 | 90 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/initializers/GaussianNormalInit.java | package jsat.classifiers.neuralnetwork.initializers;
import java.util.Random;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This object initializes the values of weights by sampling from the zero mean
* Gaussian
* @author Edward Raff
*/
public class GaussianNormalInit implements WeightInitializer, Bia... | 1,608 | 23.014925 | 80 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/initializers/TanhInitializer.java | package jsat.classifiers.neuralnetwork.initializers;
import java.util.Random;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This initializer samples the weights from an adjusted uniform distribution
* in order to provided better behavior of neuron activation and gradients<br>
* <br>
* See: Glorot, X.,... | 1,427 | 28.142857 | 85 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/initializers/WeightInitializer.java |
package jsat.classifiers.neuralnetwork.initializers;
import java.io.Serializable;
import java.util.Random;
import jsat.linear.Matrix;
/**
* This interface specifies the method of initializing the weight connections in
* a neural network.
*
* @author Edward Raff
*/
public interface WeightInitializer extends Se... | 605 | 23.24 | 80 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/regularizers/Max2NormRegularizer.java | package jsat.classifiers.neuralnetwork.regularizers;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import java.util.logging.Level;
import java.util.logging.Logger;
import jsat.linear.Ma... | 3,445 | 26.349206 | 111 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/neuralnetwork/regularizers/WeightRegularizer.java |
package jsat.classifiers.neuralnetwork.regularizers;
import java.io.Serializable;
import java.util.concurrent.ExecutorService;
import jsat.linear.Matrix;
import jsat.linear.Vec;
/**
* This interface defines the contract for applying a regularization scheme to
* the weight and bias values of a laying in a neural n... | 1,900 | 37.02 | 90 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/DCD.java |
package jsat.classifiers.svm;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.DataPoint;
import jsat.classifiers.calibration.BinaryScoreClassifier;
... | 14,690 | 28.26494 | 111 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/DCDs.java | package jsat.classifiers.svm;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.concurrent.ExecutorService;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassi... | 23,439 | 31.153635 | 230 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/DCSVM.java | /*
* Copyright (C) 2016 Edward Raff
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distri... | 14,978 | 34.161972 | 153 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/LSSVM.java | package jsat.classifiers.svm;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.DataPoint;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.kernels.KernelTrick;
import jsat.... | 14,172 | 31.656682 | 165 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/Pegasos.java | package jsat.classifiers.svm;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.SingleWeightVectorModel;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.Distribution;
import jsat.distributions.Gamma;
import ... | 9,370 | 27.056886 | 97 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/PegasosK.java |
package jsat.classifiers.svm;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Random;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Future;
import jsat.classifi... | 8,383 | 30.283582 | 111 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/PlattSMO.java |
package jsat.classifiers.svm;
import static java.lang.Math.*;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.DataSet;
import jsat.classifiers.*;
import jsat.classifiers.calibration.BinaryScoreClassifier;
import jsat.distributions.Distribution;
import jsat.distributions.Exponential;
impor... | 45,251 | 30.822785 | 398 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/SBP.java | package jsat.classifiers.svm;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Random;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.CategoricalResults;
import jsat.classifiers.ClassificationDataSet;
import jsat.classifiers.DataPoint;
import jsat.class... | 10,853 | 28.900826 | 116 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/SVMnoBias.java | /*
* Copyright (C) 2016 Edward Raff
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distri... | 11,218 | 30.42577 | 94 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/SupportVectorLearner.java |
package jsat.classifiers.svm;
import java.io.Serializable;
import java.util.*;
import jsat.distributions.kernels.KernelTrick;
import jsat.distributions.kernels.LinearKernel;
import jsat.linear.Vec;
import jsat.parameters.Parameter.ParameterHolder;
import jsat.utils.DoubleList;
import jsat.utils.ListUtils;
import jsat... | 15,832 | 32.402954 | 110 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/extended/AMM.java | package jsat.classifiers.svm.extended;
import java.util.*;
import java.util.concurrent.ExecutorService;
import jsat.classifiers.ClassificationDataSet;
import jsat.linear.Vec;
import jsat.utils.IntList;
import jsat.utils.ListUtils;
import jsat.utils.random.RandomUtil;
import jsat.utils.random.XORWOW;
/**
* This is th... | 6,500 | 33.764706 | 142 | java |
JSAT | JSAT-master/JSAT/src/jsat/classifiers/svm/extended/CPM.java | /*
* Copyright (C) 2017 Edward Raff <Raff.Edward@gmail.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
... | 18,813 | 33.90538 | 175 | java |
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