index int64 | repo_id string | file_path string | content string |
|---|---|---|---|
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/IOntologyConnector.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
import java.util.List;
/**
* Encapsulates the connection to an ontology which holds knowledge about
* classifiers, searchers, evaluators, and kernel function.
*
* @author Helena Graf
*
*/
public interface IOntologyConnector {
/**
* Gets the ancestor... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/IPerformanceDecisionTreeBasedFeatureGenerator.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
import java.util.Map;
import ai.libs.jaicore.math.linearalgebra.Vector;
import ai.libs.jaicore.ml.core.exception.TrainingException;
/**
* A feature generator that is based on a decision tree. Generates new features
* for given features together with perform... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/IPipelineCharacterizer.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
import java.util.List;
import ai.libs.hasco.model.ComponentInstance;
import ai.libs.mlplan.multiclass.wekamlplan.weka.model.MLPipeline;
/**
* Finds patterns in given MLPipelines. A pipeline characterizer first has to be
* built with {@link #build(List)}, wh... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/OntologyNotFoundException.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
/**
* Exception thrown when an ontology can not be loaded.
*
* @author Helena Graf
*
*/
public class OntologyNotFoundException extends RuntimeException {
/**
* generated id
*/
private static final long serialVersionUID = 1847206504544179128L;
/**... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/RandomTreePerformanceBasedFeatureGenerator.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
import java.util.HashMap;
import java.util.Map;
import ai.libs.jaicore.basic.algorithm.exceptions.AlgorithmException;
import ai.libs.jaicore.math.linearalgebra.DenseDoubleVector;
import ai.libs.jaicore.math.linearalgebra.Vector;
import weka.classifiers.trees.R... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/WEKAOntologyConnector.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.semanticweb.owlapi.apibinding.OWLManager;
import org.semanticweb.owlapi.model.ClassExpressionType;
import org.semanticweb.owlapi.model.OWLClass;
... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/WEKAPipelineCharacterizer.java | package ai.libs.mlplan.metamining.pipelinecharacterizing;
import java.io.File;
import java.io.IOException;
import java.net.URISyntaxException;
import java.nio.file.Paths;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Scanner;
import org.semanticweb.owlapi.model.OWLOntologyC... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/pipelinecharacterizing/package-info.java | /**
* Package containing the handling of MLPipeline characterization
*
* @author Helena Graf
*
*/
package ai.libs.mlplan.metamining.pipelinecharacterizing; |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/F1Optimizer.java | package ai.libs.mlplan.metamining.similaritymeasures;
import java.util.Random;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import de.jungblut.math.DoubleVector;
import de.jungblut.math.dense.DenseDoubleVector;
import de.ju... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/F3Optimizer.java | package ai.libs.mlplan.metamining.similaritymeasures;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore.basic.sets.Pair;
import d... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/IHeterogenousSimilarityMeasureComputer.java | package ai.libs.mlplan.metamining.similaritymeasures;
import org.nd4j.linalg.api.ndarray.INDArray;
/**
* Encapsulates a model that is trained to compute the similarity between two
* multidimensional measures, e.g. data set meta features, algorithm meta
* features and algorithm performance on a data set.
*
* @aut... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/IRelativeRankMatrixComputer.java | package ai.libs.mlplan.metamining.similaritymeasures;
import org.nd4j.linalg.api.ndarray.INDArray;
/**
* Represents an algorithm that, presented with a list of performance values of
* a pipeline on a data set computes a relative rank of this performance on the
* data set compared to other pipelines' performance on... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/ISignificanceTest.java | package ai.libs.mlplan.metamining.similaritymeasures;
/**
* Represents a significance test that can be used to decide whether one of two
* algorithms is better on a specific dataset.
*
* @author Helena Graf
*
*/
public interface ISignificanceTest {
/**
* Computes the significance of whether the first array ... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/MannWhitneyUSignificance.java | package ai.libs.mlplan.metamining.similaritymeasures;
import org.apache.commons.math3.stat.inference.MannWhitneyUTest;
/**
* A wrapper for the Mann-Whitney U Significance test.
*
* @author Helena Graf
*
*/
public class MannWhitneyUSignificance implements ISignificanceTest {
/**
* The test object used to comp... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/RelativeRankMatricComputer.java | package ai.libs.mlplan.metamining.similaritymeasures;
import java.util.Arrays;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
/**
* Uses a given significance test to compute the relative rank matrix for a
* given matrix of absolute performance values of pipelines on datasets.
* ... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/metamining/similaritymeasures/package-info.java | /**
*Package containing classes that determine the similarity of pipelines.
*
* @author Helena Graf
*
*/
package ai.libs.mlplan.metamining.similaritymeasures; |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/MLPlanClassifierConfig.java | package ai.libs.mlplan.multiclass;
import java.io.File;
import org.aeonbits.owner.Config.Sources;
import ai.libs.hasco.variants.forwarddecomposition.twophase.TwoPhaseHASCOConfig;
@Sources({ "file:conf/mlplan.properties" })
public interface MLPlanClassifierConfig extends TwoPhaseHASCOConfig {
public static final S... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/IClassifierFactory.java | package ai.libs.mlplan.multiclass.wekamlplan;
import ai.libs.hasco.optimizingfactory.BaseFactory;
import weka.classifiers.Classifier;
public interface IClassifierFactory extends BaseFactory<Classifier> {
}
|
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/MLPlanWekaClassifier.java | package ai.libs.mlplan.multiclass.wekamlplan;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Enumeration;
import java.util.List;
import java.util.Objects;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.hasco.gui.civiewplugin.TFDNodeAsCIV... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sklearn/MLPlanScikitLearnClassifierConfig.java | package ai.libs.mlplan.multiclass.wekamlplan.sklearn;
import org.aeonbits.owner.Config.LoadPolicy;
import org.aeonbits.owner.Config.LoadType;
import org.aeonbits.owner.Config.Sources;
import ai.libs.hasco.variants.forwarddecomposition.twophase.TwoPhaseHASCOConfig;
@LoadPolicy(LoadType.MERGE)
@Sources({ "file:conf/ha... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sklearn/SKLearnClassifierFactory.java | package ai.libs.mlplan.multiclass.wekamlplan.sklearn;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Map.Entry;
import java.util.Set;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.hasco.exceptions.ComponentInstantiationFailedException;
import... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sklearn/SKLearnMLPlanWekaClassifier.java | package ai.libs.mlplan.multiclass.wekamlplan.sklearn;
import java.io.IOException;
import ai.libs.mlplan.core.AbstractMLPlanBuilder;
import ai.libs.mlplan.multiclass.wekamlplan.MLPlanWekaClassifier;
public class SKLearnMLPlanWekaClassifier extends MLPlanWekaClassifier {
public SKLearnMLPlanWekaClassifier(final Abst... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/FeaturePreprocessor.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated;
import weka.core.Instance;
import weka.core.Instances;
public interface FeaturePreprocessor {
public void prepare(Instances data) throws Exception;
public Instance apply(Instance data) throws Exception;
public Instances apply(Instances data) throws E... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/MLSophisticatedPipeline.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import ai.libs.jaicore.ml.WekaUtil;
import ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen.FeatureGenerator;
import weka.classifiers.Classifier;
import weka.core.At... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/featuregen/FeatureGenerator.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen;
import ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor;
public interface FeatureGenerator extends FeaturePreprocessor {
}
|
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/featuregen/FeatureGeneratorTree.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen;
import java.util.ArrayList;
import java.util.List;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import weka.core.Instance;
import weka.core.Instances;
public class FeatureGeneratorTree implements FeatureGenerator {
private final L... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/featuregen/InteractingFeatures.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen;
import java.util.ArrayList;
import java.util.List;
import ai.libs.jaicore.basic.sets.Pair;
import ai.libs.jaicore.basic.sets.SetUtil;
import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instance;
import weka.core.Instances... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/featuregen/PCA.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen;
import ai.libs.mlplan.multiclass.wekamlplan.weka.model.SuvervisedFilterPreprocessor;
import weka.attributeSelection.PrincipalComponents;
import weka.attributeSelection.Ranker;
@SuppressWarnings("serial")
public class PCA extends SuvervisedFilterPr... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/featuregen/PolynomialFeatures.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featuregen;
import java.util.ArrayList;
import java.util.List;
import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instance;
import weka.core.Instances;
public class PolynomialFeatures implements FeatureGenerator {
private boolean... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/sophisticated/featurepre/Normalization.java | package ai.libs.mlplan.multiclass.wekamlplan.sophisticated.featurepre;
import ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor;
import weka.core.Instance;
import weka.core.Instances;
import weka.filters.Filter;
public class Normalization implements FeaturePreprocessor {
private weka.filters.u... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/MLPipelineComponentInstanceFactory.java | package ai.libs.mlplan.multiclass.wekamlplan.weka;
import java.io.IOException;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.Map;
import org.aeonbits.owner.util.Collections;
import org.apache.commons.lang3.math.NumberUtils;
import org.apache.commons.lang3.tuple.Immut... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/PreferenceBasedNodeEvaluator.java | package ai.libs.mlplan.multiclass.wekamlplan.weka;
import java.util.ArrayList;
import java.util.Collection;
import java.util.LinkedList;
import java.util.List;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.hasco.core.Util;
import ai.libs.hasco.model.Component;
import ai.libs.hasco.model.Com... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/WEKAPipelineFactory.java | package ai.libs.mlplan.multiclass.wekamlplan.weka;
import java.util.LinkedList;
import java.util.List;
import java.util.Map.Entry;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.hasco.exceptions.ComponentInstantiationFailedException;
import ai.libs.hasco.model.ComponentInstance;
import ai.li... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/WekaMLPlanWekaClassifier.java | package ai.libs.mlplan.multiclass.wekamlplan.weka;
import java.io.IOException;
import ai.libs.mlplan.core.MLPlanWekaBuilder;
import ai.libs.mlplan.multiclass.wekamlplan.MLPlanWekaClassifier;
public class WekaMLPlanWekaClassifier extends MLPlanWekaClassifier {
/**
* Automatically generated version uid for seriali... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/WekaPipelineValidityCheckingNodeEvaluator.java | package ai.libs.mlplan.multiclass.wekamlplan.weka;
import java.util.Arrays;
import java.util.Collection;
import ai.libs.hasco.core.Util;
import ai.libs.hasco.model.Component;
import ai.libs.hasco.model.ComponentInstance;
import ai.libs.jaicore.ml.WekaUtil;
import ai.libs.jaicore.planning.hierarchical.algorithms.forwa... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/model/MLPipeline.java | package ai.libs.mlplan.multiclass.wekamlplan.weka.model;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.math.stat.descriptive.DescriptiveStatistics;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore.ml.WekaUtil;
import weka.attr... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/model/SupervisedFilterSelector.java | package ai.libs.mlplan.multiclass.wekamlplan.weka.model;
import java.io.Serializable;
import ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor;
import weka.attributeSelection.ASEvaluation;
import weka.attributeSelection.ASSearch;
import weka.attributeSelection.AttributeSelection;
import weka.core... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclass/wekamlplan/weka/model/SuvervisedFilterPreprocessor.java | package ai.libs.mlplan.multiclass.wekamlplan.weka.model;
import java.io.Serializable;
import ai.libs.jaicore.ml.WekaUtil;
import ai.libs.mlplan.multiclass.wekamlplan.sophisticated.FeaturePreprocessor;
import weka.attributeSelection.ASEvaluation;
import weka.attributeSelection.ASSearch;
import weka.attributeSelection.... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclasswithreduction/ClassSplit.java | package ai.libs.mlplan.multiclasswithreduction;
import java.util.ArrayList;
import java.util.Collection;
import org.apache.commons.lang.builder.EqualsBuilder;
import org.apache.commons.lang.builder.HashCodeBuilder;
public class ClassSplit<T> {
private final Collection<T> classes;
private final Collection<T> l;
pri... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclasswithreduction/NestedDichotomyUtil.java | package ai.libs.mlplan.multiclasswithreduction;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Random;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore.b... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multiclasswithreduction/RPNDOracleTaskSolver.java | package ai.libs.mlplan.multiclasswithreduction;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.Set;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.l... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/mlplan/multilabel/MekaPipelineFactory.java | package ai.libs.mlplan.multilabel;
import java.util.LinkedList;
import java.util.List;
import java.util.Map.Entry;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.hasco.exceptions.ComponentInstantiationFailedException;
import ai.libs.hasco.model.ComponentInstance;
import ai.libs.hasco.model.N... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/Util.java | package ai.libs.reduction;
import java.io.BufferedReader;
import java.io.FileReader;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Random;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/ensemble | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/ensemble/simple/EnsembleOfSimpleOneStepReductionsExperiment.java | package ai.libs.reduction.ensemble.simple;
public class EnsembleOfSimpleOneStepReductionsExperiment {
private final int seed;
private final String dataset;
private final String nameOfClassifier;
private final int numberOfStumps;
private double errorRate;
private String exception;
public EnsembleOfSimpleOneStep... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/ensemble | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/ensemble/simple/MySQLEnsembleOfSimpleOneStepReductionsExperiment.java | package ai.libs.reduction.ensemble.simple;
public class MySQLEnsembleOfSimpleOneStepReductionsExperiment {
private final int id;
private final EnsembleOfSimpleOneStepReductionsExperiment experiment;
public MySQLEnsembleOfSimpleOneStepReductionsExperiment(int id, EnsembleOfSimpleOneStepReductionsExperiment experime... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/ensemble | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/ensemble/simple/MySQLEnsembleOfSimpleOneStepReductionsExperimentRunner.java | package ai.libs.reduction.ensemble.simple;
import java.io.File;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import org.apache.commons.math.stat.descript... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/BestOfKAtRandomExperiment.java | package ai.libs.reduction.single;
public class BestOfKAtRandomExperiment extends ReductionExperiment {
private final int k;
private final int mccvRepeats;
public BestOfKAtRandomExperiment(final int seed, final String dataset, final String nameOfLeftClassifier, final String nameOfInnerClassifier, final String name... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/ExperimentRunner.java | package ai.libs.reduction.single;
import java.io.BufferedReader;
import java.io.FileReader;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore.experiments.excep... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/MySQLReductionExperiment.java | package ai.libs.reduction.single;
import org.apache.commons.lang.builder.HashCodeBuilder;
import org.apache.commons.lang3.builder.EqualsBuilder;
public class MySQLReductionExperiment {
private final int id;
private final ReductionExperiment experiment;
public MySQLReductionExperiment(final int id, final Reduction... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/ReductionExperiment.java | package ai.libs.reduction.single;
public class ReductionExperiment {
private final int seed;
private final String dataset;
private final String nameOfLeftClassifier;
private final String nameOfInnerClassifier;
private final String nameOfRightClassifier;
private String exceptionLeft;
private String exceptionInne... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/confusion/AConfusionBasedAlgorithm.java | package ai.libs.reduction.single.confusion;
import java.util.ArrayList;
import java.util.Collection;
public class AConfusionBasedAlgorithm {
protected Collection<Integer> incrementCluster(final Collection<Integer> cluster, final double[][] confusionMatrix, final Collection<Integer> blackList) {
int leastSeenPenalt... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/confusion/ConfusionBasedAlgorithm.java | package ai.libs.reduction.single.confusion;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.stream.Collectors;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore.b... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/confusion/ConfusionBasedGreedyOptimizingAlgorithm.java | package ai.libs.reduction.single.confusion;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.stream.Collectors;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import ai.libs.jaicore.b... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/heterogeneous | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/heterogeneous/bestofkrandom/MySQLReductionExperimentRunnerWrapper.java | package ai.libs.reduction.single.heterogeneous.bestofkrandom;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import jav... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/heterogeneous | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/heterogeneous/simplerpnd/MySQLExperimentRunner.java | package ai.libs.reduction.single.heterogeneous.simplerpnd;
import java.io.File;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import org.apache.commons.ma... |
0 | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/homogeneous | java-sources/ai/libs/mlplancli/0.1.4/ai/libs/reduction/single/homogeneous/bestofkatrandom/MySQLReductionExperimentRunnerWrapper.java | package ai.libs.reduction.single.homogeneous.bestofkatrandom;
import java.io.File;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Optional;
import java.util.Random;
import ai.libs.jaicore.... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/AbstractMultiSearch.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/MultiXClassifier.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/incremental/IncrementalEvaluation.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/AbstractMultiLabelClassifier.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/BCC.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/BPNN.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/BR.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/BRq.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/CC.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/CCq.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/CDN.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/CDT.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/CT.java | package meka.classifiers.multilabel;
import java.util.ArrayList;
import java.util.Enumeration;
import java.util.List;
import java.util.Random;
import java.util.Vector;
import meka.classifiers.multilabel.cc.CNode;
import meka.classifiers.multilabel.cc.Trellis;
import meka.core.OptionUtils;
import meka.core.StatUtils;
... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/DBPNN.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/Evaluation.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/FW.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/HASEL.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/IncrementalMultiLabelClassifier.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/LC.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/LabelTransformationClassifier.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MCC.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MLCBMaD.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MULAN.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MajorityLabelset.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/Maniac.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MultiLabelClassifier.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MultiLabelClassifierThreaded.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/MultiTargetCapable.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/PCC.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/PLST.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/PMCC.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/PS.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/PSt.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/ProblemTransformationMethod.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/RAkEL.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/RAkELd.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/RT.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/SemisupervisedClassifier.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/NN/AbstractDeepNeuralNet.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/NN/AbstractNeuralNet.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/cc/CNode.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/cc/Trellis.java | package meka.classifiers.multilabel.cc;
import meka.core.A;
import meka.core.StatUtils;
import weka.core.Instances;
import java.util.Arrays;
import java.io.Serializable;
/**
* CTrellis. Classifier Trellis Structure.
* @author Jesse Read
* @version Feb 2014
*/
public class Trellis implements Serializable {
/*
*... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/incremental/BRUpdateable.java | /*
* 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 distributed in the hope that it w... |
0 | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel | java-sources/ai/libs/thirdparty/interruptible-meka/0.1.2/meka/classifiers/multilabel/incremental/CCUpdateable.java | /*
* 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 distributed in the hope that it w... |
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