Documentation of 'Catalano.MachineLearning.Dataset.StatisticsDataset' Java class
StatisticsDataset
Catalano.MachineLearning.Dataset

Class StatisticsDataset



  • public class StatisticsDataset
    extends java.lang.Object
    Descriptive statistics for dataset.
    • Constructor Summary

      Constructors 
      Constructor and Description
      StatisticsDataset(java.lang.String name, double mean, double median, double min, double max, double std, double skewness, double kurtosis, boolean isMissingValues)
      Initializes a new instance of the DatasetStatistics class.
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method and Description
      double getKurtosis()
      Get kurtosis.
      double getMax()
      Get maximum.
      double getMean()
      Get mean.
      double getMedian()
      Get median.
      double getMin()
      Get minimum.
      java.lang.String getName()
      Get the name associated attribute.
      double getSkewness()
      Get skewness.
      double getStdDev()
      Get standart deviation.
      boolean isMissingValues()
      Check if the attribute is missing values.
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

      • StatisticsDataset

        public StatisticsDataset(java.lang.String name,
                                 double mean,
                                 double median,
                                 double min,
                                 double max,
                                 double std,
                                 double skewness,
                                 double kurtosis,
                                 boolean isMissingValues)
        Initializes a new instance of the DatasetStatistics class.
        Parameters:
        name - Name of the attribute.
        mean - Mean.
        median - Median.
        min - Minimum.
        max - Maximum.
        std - Standart deviation.
        skewness - Skewness.
        kurtosis - Kurtosis.
    • Method Detail

      • getName

        public java.lang.String getName()
        Get the name associated attribute.
        Returns:
        Name of the attribute.
      • getMean

        public double getMean()
        Get mean.
        Returns:
        Mean.
      • getStdDev

        public double getStdDev()
        Get standart deviation.
        Returns:
        Standart deviation.
      • getKurtosis

        public double getKurtosis()
        Get kurtosis.
        Returns:
        Kurtosis.
      • getSkewness

        public double getSkewness()
        Get skewness.
        Returns:
        Skewness.
      • getMedian

        public double getMedian()
        Get median.
        Returns:
        Median.
      • getMin

        public double getMin()
        Get minimum.
        Returns:
        Minimum.
      • getMax

        public double getMax()
        Get maximum.
        Returns:
        Maximum.
      • isMissingValues

        public boolean isMissingValues()
        Check if the attribute is missing values.
        Returns:
        True if is missing values, otherwise return false.

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