index int64 | repo_id string | file_path string | content string |
|---|---|---|---|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/evaluation/splitsetgenerator/MonteCarloCrossValidationSplitSetGenerator.java | package ai.libs.jaicore.ml.core.evaluation.splitsetgenerator;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.splitter.IRandomDatasetSplitter;
import org.api4.java.ai.ml.core.dataset.splitter.SplitFailedException;
import org.api4.java.ai.ml.core.data... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/CheckedJaicoreMLException.java | package ai.libs.jaicore.ml.core.exception;
/**
* The {@link CheckedJaicoreMLException} serves as a base class for all checked {@link Exception}s defined as part of jaicore-ml.
*
* @author Alexander Hetzer
*
*/
public abstract class CheckedJaicoreMLException extends Exception {
private static final long serialVe... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/ConfigurationException.java | package ai.libs.jaicore.ml.core.exception;
/**
* The {@link ConfigurationException} indicates an error during a configuration process. Details concerning the error can be inferred from the associated message.
*
* @author Alexander Hetzer
*
*/
public class ConfigurationException extends CheckedJaicoreMLException ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/DatasetCapacityReachedException.java | package ai.libs.jaicore.ml.core.exception;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset;
/**
* Exception that indicates that the capacity of a {@link TimeSeriesDataset} is
* reached. I.e. the maximum nuber of instances is already contained in the
* dataset.
*/
public c... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/EvaluationException.java | package ai.libs.jaicore.ml.core.exception;
/**
* The {@link EvaluationException} indicates that an error occurred during a
* evaluation process. Details concerning the error can be inferred from the
* associated message.
*
* @author Julian Lienen
*
*/
public class EvaluationException extends CheckedJaicoreMLEx... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/InconsistentDataFormatException.java | package ai.libs.jaicore.ml.core.exception;
public class InconsistentDataFormatException extends IllegalArgumentException {
/**
*
*/
private static final long serialVersionUID = -191627526519227789L;
public InconsistentDataFormatException() {
super();
}
public InconsistentDataFormatException(final String ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/UncheckedJaicoreMLException.java | package ai.libs.jaicore.ml.core.exception;
/**
* The {@link UncheckedJaicoreMLException} serves as a base class for all unchecked {@link Exception}s defined as part of jaicore-ml.
*
* @author Alexander Hetzer
*
*/
public abstract class UncheckedJaicoreMLException extends RuntimeException {
private static final... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/exception/package-info.java | /**
* This package contains {@link java.lang.Exception}s defined by jaicore-ml. Most importantly it contains the two (abstract) base classes {@link ai.libs.jaicore.ml.core.exception.CheckedJaicoreMLException}
* and {@link ai.libs.jaicore.ml.core.exception.UncheckedJaicoreMLException} which can be used to catch all ex... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/FilterBasedDatasetSplitter.java | package ai.libs.jaicore.ml.core.filter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Objects;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.ai.ml.core.dataset.splitter.IDatasetSplitter;
import org.api4.java.ai.ml.core.da... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/IDatasetFilter.java | package ai.libs.jaicore.ml.core.filter;
public interface IDatasetFilter {
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/SplitterUtil.java | package ai.libs.jaicore.ml.core.filter;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.splitter.SplitFailedException;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.da... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.core.filter; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/IClusterableInstance.java | package ai.libs.jaicore.ml.core.filter.sampling;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance;
public interface IClusterableInstance extends ILabeledInstance, Clusterable {
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/SampleElementAddedEvent.java | package ai.libs.jaicore.ml.core.filter.sampling;
import org.api4.java.algorithm.IAlgorithm;
import ai.libs.jaicore.basic.algorithm.AAlgorithmEvent;
public class SampleElementAddedEvent extends AAlgorithmEvent {
public SampleElementAddedEvent(final IAlgorithm<?, ?> algorithm) {
super(algorithm);
}
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/package-info.java | /**
* This package contains algorithms for creating samples of a dataset.
*
* @author wever
*
*/
package ai.libs.jaicore.ml.core.filter.sampling; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/AFileSamplingAlgorithm.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.time.Instant;
import java.time.temporal.ChronoUnit;
import org.api4.java.algorithm.exceptions.AlgorithmException;
import org.api4.java.algorithm.exceptions.AlgorithmExecutio... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/ArffUtilities.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
/**
* Utility class for handling Arff dataset files.
*
* @author Lukas Brandt
*/
public class ArffUtilities {
private static final String DATA_TAG =... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/DatasetFileSorter.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.IOException;
import java.util.Comparator;
import org.api4.java.algorithm.exceptions.AlgorithmExecutionCanceledException;
import org.api4.jav... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/ReservoirSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.util.Random;
import org.api4.java.algorithm.events.IAlgorithmEvent;
import org.api4.java.algorithm.exceptions.AlgorithmException;
import org.a... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/SystematicFileSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.util.Comparator;
import java.util.LinkedList;
import java.util.List;
import java.util.Random;
import java.util.UUID;
import java.util.concurren... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/stratified/sampling/ClassStratiFileAssigner.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import org.api4.java.algorithm.exceptions.AlgorithmException;
import ai.libs.jaicore.basic.TempFileHandler;
public class ClassStratiFileAssigner implements IStrati... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/stratified/sampling/IStratiFileAssigner.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling;
import java.util.Map;
import org.api4.java.algorithm.exceptions.AlgorithmException;
import ai.libs.jaicore.basic.TempFileHandler;
/**
* Interface to implement custom Stratum assignment behavior. A temporary file
* for each Stratum has to... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/infiles/stratified/sampling/StratifiedFileSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.infiles.stratified.sampling;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
imp... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/ASamplingAlgorithm.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.ai.ml.core.dataset.IInstance;
import org.api4.java.ai.ml.core.exception.DatasetCreationException;
import org.api4.java.ai.ml.core.filter.unsupervised.sampling.ISamplingAlgorithm;
import org.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/ClusterSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import java.util.List;
import org.apache.commons.math3.ml.clustering.CentroidCluster;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.math3.ml.distance.ManhattanD... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/GmeansSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.math3.ml.distance.ManhattanDistance;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.exception.DatasetCreationException;
i... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/KmeansSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.math3.random.JDKRandomGenerator;
import org.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/SampleComplementComputer.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.ai.ml.core.dataset.IInstance;
import org.api4.java.ai.ml.core.exception.DatasetCreationException;
public class S... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/SimpleRandomSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.ai.ml.core.exception.Dataset... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/SystematicSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import java.util.Comparator;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IInstance;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.exception.DatasetCreationException;
import org.api4.jav... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/WaitForSamplingStepEvent.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory;
import org.api4.java.algorithm.IAlgorithm;
import ai.libs.jaicore.basic.algorithm.AAlgorithmEvent;
public class WaitForSamplingStepEvent extends AAlgorithmEvent {
public WaitForSamplingStepEvent(final IAlgorithm<?, ?> algorithm) {
super(algorithm);
}
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/casecontrol/APilotEstimateSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol;
import java.util.List;
import java.util.Objects;
import java.util.Random;
import org.api4.java.ai.ml.classification.IClassifier;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.dataset.supervised.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/casecontrol/CaseControlLikeSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol;
import java.util.HashMap;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance;
import org.api4.java.ai.ml.core.excep... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/casecontrol/ClassifierWeightedSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.List;
import java.util.Random;
import java.util.Set;
import java.util.stream.IntStream;
import org.apache.commons.math3.distribution.EnumeratedIntegerDistribution;
import org.ap... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/casecontrol/LocalCaseControlSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.classification.IClassifier;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.dataset.supervise... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/casecontrol/OSMAC.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.classification.IClassifier;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.dataset.supervise... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/casecontrol/ThresholdComputationFailedException.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol;
public class ThresholdComputationFailedException extends Exception {
public ThresholdComputationFailedException(final String message) {
super(message);
}
public ThresholdComputationFailedException(final String message, final Exception e) {
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/ASampleAlgorithmFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.lang.reflect.InvocationTargetException;
import java.util.Arrays;
import java.util.Objects;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.common.reconstruction.IReconstructible;
import org.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/GmeansSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Random;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.math3.ml.distance.ManhattanDistance;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import ai.libs.jaicore.ml.core.f... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/KmeansSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Random;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.math3.ml.distance.ManhattanDistance;
import org.api4.java.ai.ml.core.dataset.su... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/LabelBasedStratifiedSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.IRerunnableSamplingAlgorithmFactory;
import ai.libs.jaicore.ml.core.filter.samp... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/LocalCaseControlSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Random;
import org.api4.java.ai.ml.classification.IClassifier;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.LocalCaseControlSampling;
import ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/OSMACSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Objects;
import java.util.Random;
import org.api4.java.ai.ml.classification.IClassifier;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.casecontrol.OSMAC;
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/SimpleRandomSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.SimpleRandomSampling;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.I... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/StratifiedSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sam... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/SystematicSamplingFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories;
import java.util.Comparator;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IInstance;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.SystematicSampling;
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/interfaces/IRerunnableSamplingAlgorithmFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces;
import org.api4.java.ai.ml.core.dataset.IDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.ASamplingAlgorithm;
/**
* Extension of the ISamplingAlgorithmFactory for sampling algorithms that can
* re-use informations from a... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/factories/interfaces/ISamplingAlgorithmFactory.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IDataset;
import ai.libs.jaicore.ml.core.filter.sampling.inmemory.ASamplingAlgorithm;
/**
* Interface for a factory, which creates a sampling algorithm.
*
* @author Luka... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/AttributeBasedStratifier.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Set;
import java.util.stream.Collectors;
import org.api4.java.ai.ml.core.dataset.IDataset;
import ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/AttributeDiscretizationPolicy.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.List;
import org.apache.commons.math3.geometry.euclidean.oned.Interval;
public class AttributeDiscretizationPolicy {
private List<Interval> intervals;
public AttributeDiscretizationPolicy(final List<Interval> intervals... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/ClusterStratiAssigner.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.Arrays;
import java.util.List;
import java.util.Objects;
import org.apache.commons.math3.ml.clustering.CentroidCluster;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.distance.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/DiscretizationHelper.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.commons.math3.geometry.euclidean.oned.Interva... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/GMeansStratifier.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.List;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.math3.ml.distance.ManhattanDistance;
import org.api4.java.ai.ml.core.da... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/IStratifier.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.ai.ml.core.dataset.IInstance;
import org.api4.java.common.control.IParallelizable;
/**
* @author Felix Mohr
*/
public interface IStratifier extends IParallelizable {
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/KMeansStratifier.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.List;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer;
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.apache.commons.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/LabelBasedStratifiedSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.util.Arrays;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
public class LabelBasedStratifiedSampling<D extends ILabeledDataset<?>> extends StratifiedSampling<D> {
public LabelBas... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/sampling/inmemory/stratified/sampling/StratifiedSampling.java | package ai.libs.jaicore.ml.core.filter.sampling.inmemory.stratified.sampling;
import java.lang.reflect.Array;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import org.api4.java.ai.ml.core.dataset.IDataset;
import org.api4.java.ai.ml.core.dataset.IInstance;
i... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/supervised/package-info.java | package ai.libs.jaicore.ml.core.filter.supervised; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/filter/unsupervised/package-info.java | package ai.libs.jaicore.ml.core.filter.unsupervised; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/learner/ASupervisedLearner.java | package ai.libs.jaicore.ml.core.learner;
import java.lang.reflect.Array;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance;
import org.api4.java.ai.ml.core.eva... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/core/learner/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.core.learner; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.functionprediction; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/ConfigurationLearningCurveExtrapolator.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance;
import org.api4.java.ai.ml.core.exception.DatasetCreationException;
import org.api4.java.ai.ml.core.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/InvalidAnchorPointsException.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation;
/**
* Exception that is thrown, when the anchorpoints generated for learning curve
* extrapolation are not suitable.
*
* @author Lukas Brandt
*/
public class InvalidAnchorPointsException extends Exception {
private static final l... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/LearningCurveExtrapolatedEvent.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation;
import org.api4.java.common.event.IEvent;
public class LearningCurveExtrapolatedEvent implements IEvent {
private final LearningCurveExtrapolator extrapolator;
public LearningCurveExtrapolatedEvent(final LearningCurveExtrapolator ext... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/LearningCurveExtrapolationMethod.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation;
import java.util.concurrent.ExecutionException;
import org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve;
/**
* Functional interface for extrapolating a learning curve from anchorpoints.
*
* @author Lukas Brandt
*/
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/LearningCurveExtrapolator.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeoutException;
import org.api4.java.ai.ml.classificati... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/client/ExtrapolationRequest.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.client;
import java.util.List;
/**
* This class describes the request that is sent to an Extrapolation Service. It
* contains the x- and y-values of the anchor points.
*
* @author Felix Weiland
*
*/
public class ExtrapolationReques... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/client/ExtrapolationServiceClient.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.client;
import java.net.URI;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import javax.ws.rs.client.Client;
import javax.ws.rs.client.ClientBuilder... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/ipl/InversePowerLawConfiguration.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl;
/**
* This class encapsulates the three parameters that are required in order to
* create a Inverse Power Law function.
*
* @author Lukas Brandt
*
*/
public class InversePowerLawConfiguration {
// Inverse Power Law parameter... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/ipl/InversePowerLawExtrapolationMethod.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl;
import java.util.concurrent.ExecutionException;
import org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve;
import ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.InvalidAnchorPointsException;
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/ipl/InversePowerLawLearningCurve.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.ipl;
import java.math.BigDecimal;
import org.apache.commons.math3.analysis.solvers.BrentSolver;
import org.apache.commons.math3.analysis.solvers.UnivariateSolver;
import org.apache.commons.math3.exception.NoBracketingException;
import or... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/LinearCombinationConstants.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
/**
* This class contains required constant names for the linear combination
* learning curve.
*
* @author Felix Weiland
*
*/
public class LinearCombinationConstants {
private LinearCombinationConstants() {
}
// Function ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/LinearCombinationExtrapolationMethod.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
import java.util.concurrent.ExecutionException;
import org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve;
import ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.InvalidAnchorPointsException;
i... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/LinearCombinationFunction.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
import java.util.List;
import org.apache.commons.math3.analysis.UnivariateFunction;
/**
* This is a basic class that describes a function which is a weighted
* combination of individual functions.
*
* @author Felix Weiland
*
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/LinearCombinationLearningCurve.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.math3.analysis.UnivariateFunction;
import org.apache.commons.math3.analysis.solvers.BrentSolver;
import org.apache.commons.math3.analysis.solvers.Univariate... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/LinearCombinationLearningCurveConfiguration.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
import java.util.List;
/**
* A configuration for a linear combination learning curve consists of
* parameterizations for at least one linear combination function. If multiple
* parameterizations are given, the value of the learnin... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/LinearCombinationParameterSet.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
import java.util.Map;
/**
* This class encapsulates all parameters that are required in order to create a
* weighted linear combination of parameterized functions. Hence, a
* LinearCombinationParameterSet object contains a weight ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lc/ParametricFunction.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lc;
import java.util.Map;
import org.apache.commons.math3.analysis.UnivariateFunction;
/**
* This is a basic class that describes a function that can be parameterized with a set of parameters.
*
* @author Felix Weiland
*
*/
public ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lcnet/LCNetClient.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet;
/**
* This class handles the connection to a server that runs pybnn.
* This way we can use the LCNet from pybnn to get pointwise estimates
* of learning curves for certain classifiers and configurations of a classifier.
*
* @a... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lcnet/LCNetExtrapolationMethod.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet;
import java.io.IOException;
import org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve;
import org.api4.java.ai.ml.core.exception.TrainingException;
import ai.libs.jaicore.ml.functionprediction.learner.learningcurvee... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/functionprediction/learner/learningcurveextrapolation/lcnet/PointWiseLearningCurve.java | package ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.lcnet;
import org.api4.java.ai.ml.core.evaluation.learningcurve.ILearningCurve;
import org.api4.java.ai.ml.core.exception.PredictionException;
/**
* This class represents a learning curve that gets returned by the
* LCNet from pybnn
*... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/ggp/CFGConverter.java | package ai.libs.jaicore.ml.hpo.ggp;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import ai.libs.jaicore.components.api.IComponent;
import ai.libs.jaicore.components.api.IComp... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/ggp/GrammarBasedGeneticProgramming.java | package ai.libs.jaicore.ml.hpo.ggp;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Execu... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/ggp/IGrammarBasedGeneticProgrammingConfig.java | package ai.libs.jaicore.ml.hpo.ggp;
import org.aeonbits.owner.Config.Sources;
import ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig;
@Sources({ "file:conf/ggp.properties" })
public interface IGrammarBasedGeneticProgrammingConfig extends IOwnerBasedAlgorithmConfig {
/**
* @return The size of the population.
*... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/multifidelity/MultiFidelitySoftwareConfigurationProblem.java | package ai.libs.jaicore.ml.hpo.multifidelity;
import java.io.File;
import java.io.IOException;
import java.util.Collection;
import ai.libs.jaicore.components.api.IComponent;
import ai.libs.jaicore.components.api.IComponentInstance;
import ai.libs.jaicore.components.model.SoftwareConfigurationProblem;
import ai.libs.j... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/multifidelity | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/multifidelity/hyperband/Hyperband.java | package ai.libs.jaicore.ml.hpo.multifidelity.hyperband;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Semaphore;
import java.util.concurrent.locks.Lock;
import java.util.concurr... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/multifidelity | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/hpo/multifidelity/hyperband/IHyperbandConfig.java | package ai.libs.jaicore.ml.hpo.multifidelity.hyperband;
import ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig;
public interface IHyperbandConfig extends IOwnerBasedAlgorithmConfig {
public static final String NS = "hpo.hyperband.";
public static final String K_ETA = NS + "eta";
public static final String K_SEED... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/pdm | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/pdm/dataset/SensorTimeSeries.java | package ai.libs.jaicore.ml.pdm.dataset;
import java.util.ArrayList;
import java.util.List;
import ai.libs.jaicore.basic.sets.Pair;
public class SensorTimeSeries {
private List<Pair<Integer, Double>> timestepValuePairs;
public SensorTimeSeries() {
timestepValuePairs = new ArrayList<>();
}
/**... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/pdm | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/pdm/dataset/SensorTimeSeriesAttribute.java | package ai.libs.jaicore.ml.pdm.dataset;
import java.util.StringJoiner;
import org.api4.java.ai.ml.core.dataset.schema.attribute.IAttributeValue;
import org.api4.java.ai.ml.core.dataset.schema.attribute.IObjectAttribute;
import ai.libs.jaicore.ml.core.dataset.schema.attribute.AGenericObjectAttribute;
import ai.libs.j... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/pdm | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/pdm/dataset/SensorTimeSeriesAttributeValue.java | package ai.libs.jaicore.ml.pdm.dataset;
import org.api4.java.ai.ml.core.dataset.schema.attribute.IAttribute;
import org.api4.java.ai.ml.core.dataset.schema.attribute.IObjectAttributeValue;
public class SensorTimeSeriesAttributeValue implements IObjectAttributeValue<SensorTimeSeries> {
private final SensorTimeSe... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/RankingPredictionBatch.java | package ai.libs.jaicore.ml.ranking;
import java.util.List;
import java.util.stream.Collectors;
import org.api4.java.ai.ml.core.evaluation.IPrediction;
import org.api4.java.ai.ml.ranking.IRanking;
import org.api4.java.ai.ml.ranking.IRankingPredictionBatch;
import ai.libs.jaicore.ml.core.evaluation.PredictionBatch;
p... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.ranking; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/IVectorDyad.java | package ai.libs.jaicore.ml.ranking.dyad;
import org.api4.java.ai.ml.ranking.dyad.dataset.IDyad;
import org.api4.java.common.math.IVector;
public interface IVectorDyad extends IDyad {
@Override
public IVector getContext();
@Override
public IVector getAlternative();
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/package-info.java |
/**
* Dyad Ranking package.
* @author mwever
*
*/
package ai.libs.jaicore.ml.ranking.dyad; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/dataset/ADyadRankingInstance.java | package ai.libs.jaicore.ml.ranking.dyad.dataset;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;
import org.api4.java.ai.ml.ranking.dyad.dataset.IDyad;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/dataset/AGeneralDatasetBackedDataset.java | package ai.libs.jaicore.ml.ranking.dyad.dataset;
import java.util.Collection;
import java.util.Iterator;
import java.util.List;
import java.util.ListIterator;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance;
import ai.libs.jaicore.ml.core.dataset.Dataset;
public class AGeneralDatasetBackedDatase... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/dataset/DenseDyadRankingInstance.java | package ai.libs.jaicore.ml.ranking.dyad.dataset;
import java.util.Collections;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Set;
import org.api4.java.ai.ml.ranking.IRanking;
import org.api4.java.ai.ml.ranking.dyad.dataset.IDyad;
import org.api4.java.ai.ml.ranking.dyad.d... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/dataset/DyadRankingDataset.java | package ai.libs.jaicore.ml.ranking.dyad.dataset;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.LinkedList;
import java.util.List;
import o... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/ranking/dyad/dataset/INDArrayDyadRankingInstance.java | package ai.libs.jaicore.ml.ranking.dyad.dataset;
import org.api4.java.ai.ml.ranking.dyad.dataset.IDyadRankingInstance;
import org.nd4j.linalg.api.ndarray.INDArray;
public interface INDArrayDyadRankingInstance extends IDyadRankingInstance {
/**
* Converts a dyad ranking to a {@link INDArray} matrix where each row
... |
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