Package edu.cmu.tetrad.bayes

Class CptMapCounts

java.lang.Object
edu.cmu.tetrad.bayes.CptMapCounts
All Implemented Interfaces:
CptMap, TetradSerializable, Serializable
public class CptMapCounts extends Object implements CptMap
Represents a conditional probability table (CPT) in a Bayes net. This represents the CPT as a map from a unique integer index for a particular node to the cell count for that node, where 0's are not stored. Row counts are also stored, so that the probability of a cell can be calculated. A prior cell count of 0 is assumed for all cells, but this may be set by the user to any non-negative count. (A prior count of 0 is equivalent to a maximum likelihood estimate.)
Author:
josephramsey
See Also:

  • Constructor Summary

    Constructors
    Constructor
    Description
    CptMapCounts(int numRows, int numColumns)
    Constructs a new probability map, a map from a unique integer index for a particular node to the probability of that node taking on that value, where NaN's are not stored.
    CptMapCounts(DataSet data)
    Constructs a new CptMap based on counts from a given dataset.

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    addCounts(int row, int column, int count)
    Adds the specified count to the cell count at the given row and column.
    double
    get(int row, int column)
    Returns the probability of the node taking on the value specified by the given row and column.
    int
    getNumColumns()
    Returns the number of columns in the probability map.
    int
    getNumRows()
    Returns the number of rows in the probability map.
    double
    getPriorCount()
    Retrieves the prior count for all cells in the CptMapCounts.
    void
    setPriorCount(double priorCount)
    Sets the prior count for all cells in the CptMapCounts.

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • CptMapCounts

      public CptMapCounts(int numRows, int numColumns)
      Constructs a new probability map, a map from a unique integer index for a particular node to the probability of that node taking on that value, where NaN's are not stored. This probability map assumes that there is a certain number of rows and a certain number of columns in the table.
      Parameters:
      numRows - the number of rows in the table
      numColumns - the number of columns in the table

    • CptMapCounts

      public CptMapCounts(DataSet data)
      Constructs a new CptMap based on counts from a given dataset.
      Parameters:
      data - the DataSet object representing the probability matrix
      Throws:
      IllegalArgumentException - if the data set is null or not discrete

  • Method Details

    • get

      public double get(int row, int column)
      Returns the probability of the node taking on the value specified by the given row and column.
      Specified by:
      get in interface CptMap
      Parameters:
      row - the row of the node
      column - the column of the node
      Returns:
      the probability of the node taking on the value specified by the given row and column

    • addCounts

      public void addCounts(int row, int column, int count)
      Adds the specified count to the cell count at the given row and column.
      Parameters:
      row - the row index of the cell count
      column - the column index of the cell count
      count - the count to be added to the cell count
      Throws:
      IllegalArgumentException - if the row or column is out of bounds

    • getNumRows

      public int getNumRows()
      Returns the number of rows in the probability map.
      Specified by:
      getNumRows in interface CptMap
      Returns:
      the number of rows in the probability map.

    • getNumColumns

      public int getNumColumns()
      Returns the number of columns in the probability map.
      Specified by:
      getNumColumns in interface CptMap
      Returns:
      the number of columns in the probability map.

    • getPriorCount

      public double getPriorCount()
      Retrieves the prior count for all cells in the CptMapCounts.
      Returns:
      the prior count for all cells in the CptMapCounts.

    • setPriorCount

      public void setPriorCount(double priorCount)
      Sets the prior count for all cells in the CptMapCounts. The prior count is used in parameter estimation for Bayesian networks.
      Parameters:
      priorCount - the value to set as the prior count.