jar

io.github.jethronap : jstat

Maven & Gradle

Mar 04, 2020
10 stars

Java Library for Statistical Analysis.

Table Of Contents

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Version Vulnerabilities Size Updated
1.0.x

View Java Class Source Code in JAR file

  1. Download JD-GUI to open JAR file and explore Java source code file (.class .java)
  2. Click menu "File → Open File..." or just drag-and-drop the JAR file in the JD-GUI window jstat-1.0.0.jar file.
    Once you open a JAR file, all the java classes in the JAR file will be displayed.

dataloader

├─ dataloader.CsvDataLoader.class - [JAR]

├─ dataloader.JsonDataLoader.class - [JAR]

maths

├─ maths.ConfusionMatrix.class - [JAR]

├─ maths.Constants.class - [JAR]

├─ maths.MatrixVectorOperations.class - [JAR]

├─ maths.VectorOperations.class - [JAR]

parallel.partitioners

├─ parallel.partitioners.IPartitionPolicy.class - [JAR]

├─ parallel.partitioners.MatrixRowPartitionPolicy.class - [JAR]

├─ parallel.partitioners.RangePartitioner.class - [JAR]

datasets

├─ datasets.DenseMatrixSet.class - [JAR]

├─ datasets.VectorDouble.class - [JAR]

├─ datasets.VectorInt.class - [JAR]

├─ datasets.VectorStorage.class - [JAR]

datastructs

├─ datastructs.DoubleVectorBuilder.class - [JAR]

├─ datastructs.I2DDataSet.class - [JAR]

├─ datastructs.IRowBuilder.class - [JAR]

├─ datastructs.IVector.class - [JAR]

├─ datastructs.IntegerVectorBuilder.class - [JAR]

├─ datastructs.RowBuilder.class - [JAR]

├─ datastructs.RowType.class - [JAR]

maths.errorfunctions

├─ maths.errorfunctions.IVectorErrorRealFunction.class - [JAR]

├─ maths.errorfunctions.LogisticMSEVectorFunction.class - [JAR]

├─ maths.errorfunctions.LogisticSSEVectorFunction.class - [JAR]

├─ maths.errorfunctions.MSEVectorFunction.class - [JAR]

├─ maths.errorfunctions.SSEVectorFunction.class - [JAR]

examples.optimization.example2

├─ examples.optimization.example2.Example2.class - [JAR]

maths.functions

├─ maths.functions.IFunction.class - [JAR]

├─ maths.functions.IRealFunction.class - [JAR]

├─ maths.functions.IRegularizerFunction.class - [JAR]

├─ maths.functions.IScalarRealFunction.class - [JAR]

├─ maths.functions.IVectorRealFunction.class - [JAR]

├─ maths.functions.LinearVectorPolynomial.class - [JAR]

├─ maths.functions.NonLinearVectorPolynomial.class - [JAR]

├─ maths.functions.ScalarMonomial.class - [JAR]

├─ maths.functions.SigmoidFunction.class - [JAR]

optimization

├─ optimization.GDInput.class - [JAR]

├─ optimization.GradientDescent.class - [JAR]

├─ optimization.ISupervisedOptimizer.class - [JAR]

├─ optimization.OLSOptimizer.class - [JAR]

stats

├─ stats.GLSLinearRegression.class - [JAR]

├─ stats.OLSLinearRegression.class - [JAR]

├─ stats.Simple1DLinearRegression.class - [JAR]

├─ stats.Statistics.class - [JAR]

├─ stats.StatisticsType.class - [JAR]

examples.optimization.example1

├─ examples.optimization.example1.Example1.class - [JAR]

utils

├─ utils.AlgorithmInput.class - [JAR]

├─ utils.ArrayOperations.class - [JAR]

├─ utils.ArrayUtils.class - [JAR]

├─ utils.DefaultIterativeAlgorithmController.class - [JAR]

├─ utils.IterativAlgorithmController.class - [JAR]

├─ utils.IterativeAlgorithmResult.class - [JAR]

├─ utils.ListMaths.class - [JAR]

├─ utils.ListUtils.class - [JAR]

├─ utils.Pair.class - [JAR]

├─ utils.PairBuilder.class - [JAR]

├─ utils.ParseUtils.class - [JAR]

├─ utils.TableDataSetLoader.class - [JAR]

├─ utils.TableOperations.class - [JAR]

examples.stats.example2

├─ examples.stats.example2.Example2.class - [JAR]

examples.stats.example3

├─ examples.stats.example3.Example3.class - [JAR]

examples.stats.example4

├─ examples.stats.example4.Example4.class - [JAR]

examples.stats.example1

├─ examples.stats.example1.Example1.class - [JAR]

visualizations

├─ visualizations.BarChart.class - [JAR]

├─ visualizations.Histograms.class - [JAR]

├─ visualizations.LineChart.class - [JAR]

├─ visualizations.PieChart.class - [JAR]

├─ visualizations.ScatterChart.class - [JAR]

maths.functions.distances

├─ maths.functions.distances.DistanceCalculator.class - [JAR]

├─ maths.functions.distances.EuclideanVectorCalculator.class - [JAR]

examples.plotting.example5

├─ examples.plotting.example5.Example5.class - [JAR]

ml.classifiers

├─ ml.classifiers.ClassifierBase.class - [JAR]

├─ ml.classifiers.KNNClassifier.class - [JAR]

├─ ml.classifiers.LogisticRegressionClassifier.class - [JAR]

├─ ml.classifiers.ThreadedKNNClassifier.class - [JAR]

examples.plotting.example4

├─ examples.plotting.example4.Example4.class - [JAR]

ml.classifiers.utils

├─ ml.classifiers.utils.ClassificationVoter.class - [JAR]

├─ ml.classifiers.utils.IVoter.class - [JAR]

examples.plotting.example1

├─ examples.plotting.example1.Example1.class - [JAR]

examples.plotting.example3

├─ examples.plotting.example3.Example3.class - [JAR]

stats.utils

├─ stats.utils.Resample.class - [JAR]

examples.plotting.example2

├─ examples.plotting.example2.Example2.class - [JAR]

dataloader.utils

├─ dataloader.utils.ParseUtils.class - [JAR]

maths.functions.generators

├─ maths.functions.generators.IRandomGenerator.class - [JAR]

├─ maths.functions.generators.UniformRandomGenerator.class - [JAR]

examples.ml.example1

├─ examples.ml.example1.Example1.class - [JAR]

ml.clustering

├─ ml.clustering.ICentroidInitializerType.class - [JAR]

├─ ml.clustering.KMeans.class - [JAR]

├─ ml.clustering.KMeansInput.class - [JAR]

examples.ml.example2

├─ examples.ml.example2.Example2.class - [JAR]

examples.ml.example3

├─ examples.ml.example3.Example3.class - [JAR]

examples.ml.example4

├─ examples.ml.example4.Example4.class - [JAR]

examples

├─ examples.OLSMultipleLinearRegression.class - [JAR]

examples.ml.example5

├─ examples.ml.example5.Example5.class - [JAR]

parallel.tasks

├─ parallel.tasks.SumSqrDiffTask.class - [JAR]

├─ parallel.tasks.SumSqrTask.class - [JAR]

├─ parallel.tasks.SumTask.class - [JAR]

├─ parallel.tasks.TaskBase.class - [JAR]

examples.ml.example6

├─ examples.ml.example6.Example6.class - [JAR]

examples.ml.example7

├─ examples.ml.example7.Example7.class - [JAR]

ml.regression

├─ ml.regression.LinearRegressor.class - [JAR]

├─ ml.regression.NonLinearRegressor.class - [JAR]

├─ ml.regression.RegressorBase.class - [JAR]

maths.functions.regularizers

├─ maths.functions.regularizers.ElasticNetRegularizer.class - [JAR]

├─ maths.functions.regularizers.LassoRegularizer.class - [JAR]

├─ maths.functions.regularizers.RidgeRegularizer.class - [JAR]

base

├─ base.CommonConstants.class - [JAR]

├─ base.Configuration.class - [JAR]

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