index int64 | repo_id string | file_path string | content string |
|---|---|---|---|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/AreaUnderROCCurve.java | package ai.libs.jaicore.ml.classification.loss.dataset;
public class AreaUnderROCCurve extends AAreaUnderCurvePerformanceMeasure {
public AreaUnderROCCurve(final int positiveClass) {
super(positiveClass);
}
@Override
public double getXValue(final int tp, final int fp, final int tn, final int fn) {
// false p... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/AveragedInstanceLoss.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure;
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/EAggregatedClassifierMetric.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable;
import ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/EClassificationPerformanceMeasure.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import org.api4.java.ai.ml.core.evaluation.IPredictionAndGroundTruthTable;
import org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterminist... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/ErrorRate.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class ErrorRate extends ASingleLabelClassificationPerformanceMeasure {
public ErrorRate() {
/* empty constructor to avoid direct insta... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/F1Measure.java | package ai.libs.jaicore.ml.classification.loss.dataset;
public class F1Measure extends FMeasure {
private static final int BETA = 1;
public F1Measure(final int positiveClass) {
super(BETA, positiveClass);
}
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/FMeasure.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import ai.libs.jaicore.basic.metric.ConfusionMetrics;
public class FMeasure extends ASingleLabelClassificationPerformanceMeasure {
private fin... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/FalseNegatives.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class FalseNegatives extends ASingleLabelClassificationPerformanceMeasure {
private final int positiv... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/FalsePositives.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class FalsePositives extends ASingleLabelClassificationPerformanceMeasure {
private final int positiv... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/IPredictedClassPerformanceMeasure.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
public interface IPredictedClassPerformanceMeasure {
public double loss(List<? extends Integer> expected, List<? extends Integer> predicted);
public double score(List<? extends Integer> expected, List<? extends Integer> predicted);
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/Precision.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import ai.libs.jaicore.basic.metric.ConfusionMetrics;
public class Precision extends ASingleLabelClassificationPerformanceMeasure {
private fi... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/Recall.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import ai.libs.jaicore.basic.metric.ConfusionMetrics;
public class Recall extends ASingleLabelClassificationPerformanceMeasure {
private final... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/TrueNegatives.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class TrueNegatives extends ASingleLabelClassificationPerformanceMeasure {
private final int positive... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/TruePositives.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class TruePositives extends ASingleLabelClassificationPerformanceMeasure {
private final int positive... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/dataset/WeightedAUROC.java | package ai.libs.jaicore.ml.classification.loss.dataset;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import ai.libs.jaicore.basic.Maps;
/**
* Computes the AUROC weighte... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/instance/AInstanceMeasure.java | package ai.libs.jaicore.ml.classification.loss.instance;
import org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure;
/**
* Abstract class for instance-based measures.
*
* @author mwever
*
* @param <E> The type of the expected value.
* @param <A> The type of the... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/instance/CrossEntropyLoss.java | package ai.libs.jaicore.ml.classification.loss.instance;
import java.util.Map;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class CrossEntropyLoss extends AInstanceMeasure<double[], ISingleLabelClassification> {
public static... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/instance/JaccardScore.java | package ai.libs.jaicore.ml.classification.loss.instance;
import java.util.Collection;
import ai.libs.jaicore.basic.sets.SetUtil;
public class JaccardScore extends AInstanceMeasure<Collection<Integer>, Collection<Integer>> {
@Override
public double score(final Collection<Integer> expected, final Collection<Integer... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/instance/LogLoss.java | package ai.libs.jaicore.ml.classification.loss.instance;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
public class LogLoss extends AInstanceMeasure<Integer, ISingleLabelClassification> {
private final CrossEntropyLoss cel;
public LogLoss() {
this.cel = new CrossEn... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/loss/instance/ZeroOneLoss.java | package ai.libs.jaicore.ml.classification.loss.instance;
import org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicInstancePredictionPerformanceMeasure;
/**
*
* @author mwever
*/
public class ZeroOneLoss implements IDeterministicInstancePredictionPerformanceMeasure<Object, Object> {
@Override
pub... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/MultiLabelClassification.java | package ai.libs.jaicore.ml.classification.multilabel;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import ai.libs.jaicore.ml.core.evaluation.Prediction;
public class MultiLabelClassification extends Prediction implements IMultiLabelCla... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/MultiLabelClassificationPredictionBatch.java | package ai.libs.jaicore.ml.classification.multilabel;
import java.util.Arrays;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassificationP... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/package-info.java | package ai.libs.jaicore.ml.classification.multilabel; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/AMultiLabelClassificationMeasure.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.Arrays;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import org.api4.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/AThresholdBasedMultiLabelClassificationMeasure.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiLabelClassificationPredi... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/AutoMEKAGGPFitnessMeasureLoss.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.Arrays;
import java.util.List;
import java.util.OptionalDouble;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import org.api4.java.ai.ml.classification.multilabel.evaluation.loss.IMultiL... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/ExactMatch.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.List;
import java.util.stream.IntStream;
import org.apache.commons.collections4.SetUtils;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import ai.libs.jaicore.basic.ArrayUtil;
public c... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/F1MacroAverageL.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.Arrays;
import java.util.List;
import java.util.OptionalDouble;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
impo... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/F1MicroAverage.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleL... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/Hamming.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.List;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import ai.libs.jaicore.basic.ArrayUtil;
import ai.libs.jaicore.basic.sets.SetUtil;
public class H... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/InstanceWiseF1.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.Arrays;
import java.util.List;
import java.util.OptionalDouble;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
impo... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/JaccardScore.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.List;
import java.util.OptionalDouble;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import ai.libs.jaicore.basic.ArrayUtil;
public class JaccardScor... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/RankLoss.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss;
import java.util.List;
import java.util.OptionalDouble;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.multilabel.evaluation.IMultiLabelClassification;
import ai.libs.jaicore.basic.ArrayUtil;
public class RankLoss ex... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/package-info.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/ChoquisticRelevanceLoss.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
import org.api4.java.ai.ml.classificatio... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/OWARelevanceLoss.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
import org.api4.java.ai.ml.classificatio... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/package-info.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/choquistic/HammingMassFunction.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic;
import java.util.Collection;
public class HammingMassFunction implements IMassFunction {
@Override
public double mu(final Collection<Double> cis, final int m) {
return (double) cis.size() / m;
}
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/choquistic/IMassFunction.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic;
import java.util.Collection;
public interface IMassFunction {
public double mu(final Collection<Double> cis, final int m);
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/choquistic/SubsetZeroOneMassFunction.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic;
import java.util.Collection;
public class SubsetZeroOneMassFunction implements IMassFunction {
@Override
public double mu(final Collection<Double> cis, final int m) {
if (cis.size() == m) {
return 1;
} else {
ret... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/choquistic/package-info.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.choquistic; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/owa/IOWAValueFunction.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa;
public interface IOWAValueFunction {
public double transform(double nominator, double denominator);
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/owa/MoebiusTransformOWAValueFunction.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa;
import org.apache.commons.math3.util.CombinatoricsUtils;
public class MoebiusTransformOWAValueFunction implements IOWAValueFunction {
private final int k;
public MoebiusTransformOWAValueFunction(final int k) {
this.k = k;
}
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/owa/PolynomialOWAValueFunction.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa;
public class PolynomialOWAValueFunction implements IOWAValueFunction {
private final double alpha;
public PolynomialOWAValueFunction(final double alpha) {
this.alpha = alpha;
}
@Override
public double transform(final double... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/multilabel/evaluation/loss/nonadditive/owa/package-info.java | package ai.libs.jaicore.ml.classification.multilabel.evaluation.loss.nonadditive.owa; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/SingleLabelClassification.java | package ai.libs.jaicore.ml.classification.singlelabel;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.stream.IntStream;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import ai.libs.jaicore.basic.Arra... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/SingleLabelClassificationPredictionBatch.java | package ai.libs.jaicore.ml.classification.singlelabel;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassificatio... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/package-info.java | package ai.libs.jaicore.ml.classification.singlelabel; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/learner/ASingleLabelClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.learner;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassificat... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/learner/MajorityClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.learner;
import java.util.HashMap;
import java.util.Map;
import java.util.Objects;
import org.api4.java.ai.ml.classification.IClassifier;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ICategoricalAttribute;
import org.api4.java.ai.ml.core.dataset.superv... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/learner/package-info.java | package ai.libs.jaicore.ml.classification.singlelabel.learner; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/package-info.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/ITimeSeriesDataset.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset;
import java.util.Iterator;
public interface ITimeSeriesDataset {
public Iterator<ITimeSeriesInstance> iterator();
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/ITimeSeriesInstance.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset;
import org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.model.INDArrayTimeseries;
import ai.libs.jaicore.ml.core.filter.sampling.IClusterableInstance;
public interfac... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/TimeSeriesDataset.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.NoSuchElementException;
import java.util.Set;
import java.util.stream.Collectors;
import org.api4.java.ai.ml.core.dataset.schema.ILabeledInstanceSche... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/TimeSeriesDataset2.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset;
import java.util.List;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.ClassMapper;
/**
* Dataset for time series.
*
* <p>
* The dataset consists of a value matrices and timestamp matrices. In the
* univariate case, t... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/TimeSeriesFeature.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.MathUtil;
/**
* Class calculating features (e. g. mean, stddev or slope) on given
* subsequences of time series. Used e. g. for {@link TimeSeriesTreeClassifier}
* classifie... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/TimeSeriesInstance.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.model.INDArrayTimeseries;
/**
* TimeSeriesInstance
*/
public class TimeSeriesInstance implements ITime... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/attribute/ATimeseriesAttribute.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseries;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttribute;
import ai.libs.jaicore.ml.core.dataset.schema.attribute.AGenericObjectAttribute;
/**... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/attribute/NDArrayTimeseriesAttribute.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseries;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttributeValue;
import org.api4.java.ai.ml.core.dataset.schema.attribute.NoValidAttributeValueExc... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/attribute/NDArrayTimeseriesAttributeValue.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseries;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttribute;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseriesAttributeValue;
im... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/dataset/attribute/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.attribute; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/exception/NoneFittedFilterExeception.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception;
import ai.libs.jaicore.ml.core.exception.UncheckedJaicoreMLException;
public class NoneFittedFilterExeception extends UncheckedJaicoreMLException {
/**
*
*/
private static final long serialVersionUID = 1L;
public NoneFittedFilterExec... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/exception/TimeSeriesLengthException.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception;
/**
* Exception class encapsultes faulty behaviour with length of time series.
*
* @author fischor
*/
public class TimeSeriesLengthException extends IllegalArgumentException {
private static final long serialVersionUID = 1L;
pub... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/exception/TimeSeriesLoadingException.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception;
/**
* Exception thrown when a time series dataset could not be extracted from an
* external data source (e. g. a file).
*
* @author Julian Lienen
*
*/
public class TimeSeriesLoadingException extends Exception {
/**
* Default generate... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/filter/AFilter.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
public abstract class AFilter implements IFilter {
@Override
public TimeSeriesDataset2 fitTransform(final TimeSeriesDataset2 input) {
this.fit(input... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/filter/IFilter.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.NoneFittedFilterExeception;
public interface IFilter {
/**
* represents a f... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/filter/SAX.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter;
import java.util.Arrays;
import ai.libs.jaicore.basic.transform.vector.PiecewiseAggregateApproximationTransform;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
import ai.libs.jaicore.ml.classification... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/filter/SFA.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.Non... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/filter/SlidingWindowBuilder.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter;
import java.util.ArrayList;
import java.util.Arrays;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.NoneFittedFilterExeception... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/filter/ZTransformer.java | /**
*
*/
package ai.libs.jaicore.ml.classification.singlelabel.timeseries.filter;
import java.util.ArrayList;
import java.util.List;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.exception.NoneFittedFilterE... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/ASimplifiedTSCLearningAlgorithm.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import java.util.Iterator;
import java.util.NoSuchElementException;
import org.api4.java.algorithm.events.IAlgorithmEvent;
import ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig;
import ai.libs.jaicore.basic.algorithm.AAlgorithm;
import ai.li... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/ASimplifiedTSClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import java.util.List;
import org.api4.java.ai.ml.core.exception.PredictionException;
import org.api4.java.ai.ml.core.exception.TrainingException;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
impo... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/ATSCAlgorithm.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import org.api4.java.algorithm.IAlgorithm;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset;
/**
* Abstract algorithm class which is able to take {@link TimeSeriesDataset}
* objects and builds {@link ... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/ATimeSeriesClassificationModel.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassification;
import org.api4.java.ai.ml.classification.singlelabel.evaluation.ISingleLabelClassificationPredictionBatch;
import org.api4.java.ai.ml.core.exception.Tr... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/BOSSClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import org.aeonbits.owner.ConfigCache;
import org.api4.java.ai.ml.core.exception.PredictionException;
import ai.libs.jaicore.ml.classification... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/BOSSEnsembleClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import org.api4.java.ai.ml.core.exception.PredictionException;
import ai.libs.jaicore.ml.classification.singlelabel.... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/BOSSLearningAlgorithm.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.api4.java.algorithm.events.IAlgorithmEvent;
import ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig;
import ai.libs.jaicore.ml.classi... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/package-info.java | /**
* This package contains classifier implementations for time series classification problems.
*/
/**
* @author Julian
*
*/
package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/neighbors/NearestNeighborClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map.Entry;
import java.util.PriorityQueue;
import org.aeonbits.owner.ConfigCache;
import org.api4.java.ai.ml.co... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/neighbors/NearestNeighborLearningAlgorithm.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors;
import org.api4.java.algorithm.events.IAlgorithmEvent;
import org.api4.java.algorithm.exceptions.AlgorithmException;
import ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig;
import ai.libs.jaicore.ml.classification.singlelabel.timeser... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/neighbors/ShotgunEnsembleClassifier.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import org.aeonbits.owner.ConfigCache;
import org.api4.java.ai.ml.core.exception.PredictionException;
impor... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/learner/neighbors/ShotgunEnsembleLearnerAlgorithm.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.learner.neighbors;
import java.util.ArrayList;
import org.api4.java.algorithm.events.IAlgorithmEvent;
import org.api4.java.algorithm.exceptions.AlgorithmException;
import ai.libs.jaicore.basic.IOwnerBasedAlgorithmConfig;
import ai.libs.jaicore.basic.me... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/model/INDArrayTimeseries.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.model;
import org.api4.java.ai.ml.core.dataset.schema.attribute.ITimeseries;
import org.nd4j.linalg.api.ndarray.INDArray;
public interface INDArrayTimeseries extends ITimeseries<INDArray> {
public int length();
public double[] getPoint();
}
|
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/model/NDArrayTimeseries.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.model;
import org.nd4j.linalg.api.ndarray.INDArray;
import ai.libs.jaicore.basic.sets.ElementDecorator;
public class NDArrayTimeseries extends ElementDecorator<INDArray> implements INDArrayTimeseries {
public NDArrayTimeseries(final INDArray element)... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/model/package-info.java | /**
*
*/
/**
* @author mwever
*
*/
package ai.libs.jaicore.ml.classification.singlelabel.timeseries.model; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/quality/FStat.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map.Entry;
/**
* F-Stat quality measure performing a analysis of variance according to chapter
* 3.2 of the original paper. It analyzes the ratio of... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/quality/IQualityMeasure.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality;
import java.io.Serializable;
import java.util.List;
/**
* Interface for a quality measure assessing distances of instances to a
* shapelet given the corresponding class values. This functional interface is
* used within the Shapelet Transfor... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets/Shapelet.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
/**
* Implementation of a shapelet, i. e. a specific subsequence of a time series
* representing a characteristic shape.
*
* @author Julian Lienen
*
*/
public... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets/search/AMinimumDistanceSearchStrategy.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.Shapelet;
/**
* Abstract class for minimum distance search strategies. Subclasses implement
* functionality to find the minimum distance between a given {@link... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets/search/EarlyAbandonMinimumDistanceSearchStrategy.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search;
import java.util.List;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.Shapelet;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.MathUtil;
import ai.libs.jaicore.ml.classification.singlela... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets/search/ExhaustiveMinimumDistanceSearchStrategy.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.Shapelet;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.MathUtil;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.util.Time... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/shapelets/search/package-info.java | /**
* This package contains search strategies applied to
* {@link ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.Shapelet} objects.
*
* @author Julian Lienen
*
*/
package ai.libs.jaicore.ml.classification.singlelabel.timeseries.shapelets.search; |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/util/ClassMapper.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.util;
import java.util.List;
/**
* Class mapper used for predictions of String objects which are internally
* predicted by time series classifiers as ints.
*
* @author Julian Lienen
*
*/
public class ClassMapper {
/**
* Stored class values whi... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/util/HistogramBuilder.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.util;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
/**
* @author Helen Beierling
* This class is used to compute Histogram... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/util/MathUtil.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.util;
import java.util.stream.DoubleStream;
/**
* Utility class consisting of mathematical utility functions.
*
* @author Julian Lienen
*
*/
public class MathUtil {
private MathUtil() {
/* no instantiation desired */
}
/**
* Function to ca... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/util/SimplifiedTimeSeriesLoader.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.util;
import java.io.BufferedInputStream;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/util/TSLearningProblem.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.util;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset2;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.quality.IQualityMeasure;
public class TSLearningProblem {
private final IQualityMeasure qu... |
0 | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries | java-sources/ai/libs/jaicore-ml/0.2.7/ai/libs/jaicore/ml/classification/singlelabel/timeseries/util/TimeSeriesBatchLoader.java | package ai.libs.jaicore.ml.classification.singlelabel.timeseries.util;
import ai.libs.jaicore.ml.classification.singlelabel.timeseries.dataset.TimeSeriesDataset;
/**
* BatchLoader
*/
public class TimeSeriesBatchLoader {
public TimeSeriesBatchLoader(TimeSeriesDataset dataset, int batchSize, boolean shuffle) {
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.