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

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

    public class ClassifierTraineeMaker

extends java.lang.Object

A command line class to create training information from the raw data.

Constructor Summary
`ClassifierTraineeMaker(java.lang.String taxFile, java.lang.String seqFile, int trainset_no, java.lang.String version, java.lang.String modification, java.lang.String outdir)` Creates a new ClassifierTraineeMaker

Method Summary
`static void` `main(java.lang.String[] args)` This is the main method to create training files from raw taxonomic information.
`static void` `printLicense()` Prints the license information to std err.

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

Constructor Detail

### ClassifierTraineeMaker

    public ClassifierTraineeMaker(java.lang.String taxFile,
                                  java.lang.String seqFile,
                                  int trainset_no,
                                  java.lang.String version,
                                  java.lang.String modification,
                                  java.lang.String outdir)
                           throws java.io.FileNotFoundException,
                                  java.io.IOException

  Creates a new ClassifierTraineeMaker

  Parameters:
    `taxFile` - contains the hierarchical taxonomy information in the following format: taxid*taxon name*parent taxid*depth*rank". taxid, the parent taxid and depth should be in integer format. depth indicates the depth from the root taxon.
    `seqFile` - contains the raw training sequences in fasta format. The header of this fasta file starts with ">", followed by the sequence name, white space(s) and a list taxon names seperated by ';' with highest rank taxon first. For example: >seq1 ROOT;Ph1;Fam1;G1;
    Note: a sequence can only be assigned to the lowest rank taxon.
    `trainset_no` - is used to mark the training files generated.
    `version` - indicates the version of the hierarchical taxonomy.
    `modification` - holds the modification information of the taxonomy if any.
    `outdir` - specifies the output directory. The parsed training information will be saved into four files in the given output directory.
  Throws:
    `java.io.FileNotFoundException`
    `java.io.IOException`

Method Detail

### printLicense

    public static void printLicense()

  Prints the license information to std err.

### main

    public static void main(java.lang.String[] args)
                     throws java.io.FileNotFoundException,
                            java.io.IOException

  This is the main method to create training files from raw taxonomic information.

  Usage: java ClassifierTraineeMaker tax_file rawseq.fa trainsetNo version version_modification output_directory. See the ClassifierTraineeMaker constructor for more detail.

  Parameters:
    `args` -
  Throws:
    `java.io.FileNotFoundException`
    `java.io.IOException`