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## edu.msu.cme.rdp.classifier.train
Class TreeFactory

    java.lang.Object
      edu.msu.cme.rdp.classifier.train.TreeFactory

    public class TreeFactory

extends java.lang.Object

A TreeFactory reads the raw taxonomic information and creates the RawHierarchyTree nodes.

Field Summary
`private java.util.List` | `genus_wordConditionalProbList`
`private java.util.List` | `genusNodeList`
`private float[]` | `logArr`
`private int` | `ROOT_DEPTH` The depth of root of the RawHierarchyTree is set to 0
`private RawHierarchyTree` | `rootTree`
`private java.util.Map<java.lang.Integer,Taxonomy>` | `taxidMap`
`private java.util.Map<java.lang.String,java.util.List>` | `taxnameMap`
`private int` | `totalSequences`
`private java.lang.String` | `trainingVersion`
`private java.io.BufferedWriter` | `treeFile`
`private float` | `WF1` A factor for probability correction
`private float` | `WF2` A factor for probability correction
`private float[]` | `wordPriorArr`
`private int[]` | `wordProbPointerArr`

Constructor Summary
`TreeFactory(java.io.Reader taxReader, int trainsetNo, java.lang.String version, java.lang.String modification)` Creates new TreeFactory.

Method Summary
`(package private) void` | `addSequence(ParsedRawSequence pSeq)`
`private void` | `addSequencewithLineage(ParsedRawSequence pSeq)` For the given sequence name, its ancestors, and the sequence string, creates a HierarchyTree for each ancestor, If the root does not exist, creates the root with a null parent.
`private void` | `addSequencewithTaxid(ParsedRawSequence pSeq)` For the given sequence name, its assigned taxid, and the sequence string, creates a HierarchyTree for each ancestor, If the root does not exist, creates the root with a null parent.
`(package private) void` | `createGenusWordConditionalProb()` This method does all the setup work for wordPrior and word conditional probability.
`(package private) void` | `createNodeList(RawHierarchyTree root, java.lang.String level, java.util.List nodeList)` Gets all the lowest level nodes in given hierarchy level starting from the given root.
`private void` | `creatTaxidMap(java.io.Reader taxReader)` It reads in a file containing the taxonomy information for all the nodes.
`private void` | `displayTrainingTree(RawHierarchyTree root)` Writes the phylogenetic taxonmic information of the given root and all the descendant nodes to a file.
`(package private) java.util.List` | `getGenusNodeList()` Return the list of geneus nodes.
`(package private) float` | `getLogLeaveCount(int i)` Returns the log value of ( number of leaves plus 1 ).
`(package private) float` | `getLogWordPrior(int wordIndex)` Returns the log value for word prior probability for the given word index.
`(package private) RawHierarchyTree` | `getRoot()` Gets the root of the tree
`(package private) int` | `getStartIndex(int wordIndex)` Returns the start index of RawGenusWordConditionalProb in the array for the given wordIndex.
`(package private) int` | `getStopIndex(int wordIndex)` Returns the stop index of RawGenusWordConditionalProb in the array for the given wordIndex.
`private Taxonomy` | `getTaxonomy(ParsedRawSequence pSeq, int pid, int index)` Gets the Taxonomy for the tree node in the ancestor list.
`(package private) RawGenusWordConditionalProb` | `getWordConditionalProb(int posIndex)` Returns a GenusWordConditionalProb from the array given the postion.
`(package private) void` | `printGenusIndex_WordProbArr(java.lang.String outdir)` Writes the indices of genus nodes and the conditional probabilities of words occurred in these genus nodes to a file.
`(package private) void` | `printTrainingFiles(java.lang.String outdir)` Writes the entire phylogenetic taxonmic information to a file.
`(package private) void` | `printWordConditionalProbIndexArr(java.lang.String outdir)` Writes the indices of words and the start indices of conditional probability of the genera containing these words to a file.
`(package private) void` | `printWordPriors(java.lang.String outdir)` Writes the log values of the word prior probabilities to a file.

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Field Detail

### genusNodeList

    private java.util.List genusNodeList

### genus_wordConditionalProbList

    private java.util.List genus_wordConditionalProbList

### wordProbPointerArr

    private int[] wordProbPointerArr

### logArr

    private float[] logArr

### rootTree

    private RawHierarchyTree rootTree

### taxnameMap

    private java.util.Map<java.lang.String,java.util.List> taxnameMap

### taxidMap

    private java.util.Map<java.lang.Integer,Taxonomy> taxidMap

### wordPriorArr

    private float[] wordPriorArr

### ROOT_DEPTH

    private int ROOT_DEPTH

  The depth of root of the RawHierarchyTree is set to 0

### totalSequences

    private int totalSequences

### WF1

    private final float WF1

  A factor for probability correction

  See Also:
    Constant Field Values

### WF2

    private final float WF2

  A factor for probability correction

  See Also:
    Constant Field Values

### treeFile

    private java.io.BufferedWriter treeFile

### trainingVersion

    private java.lang.String trainingVersion

Constructor Detail

### TreeFactory

    public TreeFactory(java.io.Reader taxReader,
                       int trainsetNo,
                       java.lang.String version,
                       java.lang.String modification)
                throws java.io.IOException

  Creates new TreeFactory.

  Throws:
    `java.io.IOException`

Method Detail

### creatTaxidMap

    private void creatTaxidMap(java.io.Reader taxReader)
                        throws java.io.IOException

  It reads in a file containing the taxonomy information for all the nodes. The taxonomy format is taxid(int), taxname(string), parentid(int), depth(int) and hierarchy level(string) seperated by * in one line. The information are kept in a hashMap, key: taxname, value: an array of the Taxonomy(taxid, parentid, depth and hierarchy rank level). Note: the depth for the root is 0.

  Throws:
    `java.io.IOException`

### addSequence

    void addSequence(ParsedRawSequence pSeq)
               throws java.io.IOException

  Throws:
    `java.io.IOException`

### addSequencewithTaxid

    private void addSequencewithTaxid(ParsedRawSequence pSeq)
                               throws java.io.IOException

  For the given sequence name, its assigned taxid, and the sequence string, creates a HierarchyTree for each ancestor, If the root does not exist, creates the root with a null parent. If the root already exists, checks the ParsedSequence to see if its highest rank ancestor is the same as the previous root.

  Throws:
    `java.io.IOException`

### addSequencewithLineage

    private void addSequencewithLineage(ParsedRawSequence pSeq)
                                 throws java.io.IOException

  For the given sequence name, its ancestors, and the sequence string, creates a HierarchyTree for each ancestor, If the root does not exist, creates the root with a null parent. If the root already exists, checks the ParsedSequence to see if its highest rank ancestor is the same as the previous root.

  Throws:
    `java.io.IOException`

### getTaxonomy

    private Taxonomy getTaxonomy(ParsedRawSequence pSeq,
                                 int pid,
                                 int index)

  Gets the Taxonomy for the tree node in the ancestor list.

### getRoot

    RawHierarchyTree getRoot()

  Gets the root of the tree

### createGenusWordConditionalProb

    void createGenusWordConditionalProb()

  This method does all the setup work for wordPrior and word conditional probability. 1. It calculates the prior for each word and keeps the value in an array 2. for each word, it calculates the conditional probability for non-zero occurrence genus, and keeps the value in an array.

### getLogWordPrior

    float getLogWordPrior(int wordIndex)

  Returns the log value for word prior probability for the given word index.

### getGenusNodeList

    java.util.List getGenusNodeList()

  Return the list of geneus nodes.

### getLogLeaveCount

    float getLogLeaveCount(int i)

  Returns the log value of ( number of leaves plus 1 ).

### getStartIndex

    int getStartIndex(int wordIndex)

  Returns the start index of RawGenusWordConditionalProb in the array for the given wordIndex.

### getStopIndex

    int getStopIndex(int wordIndex)

  Returns the stop index of RawGenusWordConditionalProb in the array for the given wordIndex.

### getWordConditionalProb

    RawGenusWordConditionalProb getWordConditionalProb(int posIndex)

  Returns a GenusWordConditionalProb from the array given the postion.

### createNodeList

    void createNodeList(RawHierarchyTree root,
                        java.lang.String level,
                        java.util.List nodeList)

  Gets all the lowest level nodes in given hierarchy level starting from the given root.

### printTrainingFiles

    void printTrainingFiles(java.lang.String outdir)
                      throws java.io.IOException

  Writes the entire phylogenetic taxonmic information to a file.

  Throws:
    `java.io.IOException`

### displayTrainingTree

    private void displayTrainingTree(RawHierarchyTree root)
                              throws java.io.IOException

  Writes the phylogenetic taxonmic information of the given root and all the descendant nodes to a file. For each node, display the index and the name. For each sequence, display the name and the description.

  Throws:
    `java.io.IOException`

### printWordPriors

    void printWordPriors(java.lang.String outdir)
                   throws java.io.IOException

  Writes the log values of the word prior probabilities to a file.

  Throws:
    `java.io.IOException`

### printWordConditionalProbIndexArr

    void printWordConditionalProbIndexArr(java.lang.String outdir)
                                    throws java.io.IOException

  Writes the indices of words and the start indices of conditional probability of the genera containing these words to a file.

  Throws:
    `java.io.IOException`

### printGenusIndex_WordProbArr

    void printGenusIndex_WordProbArr(java.lang.String outdir)
                               throws java.io.IOException

  Writes the indices of genus nodes and the conditional probabilities of words occurred in these genus nodes to a file.

  Throws:
    `java.io.IOException`

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