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#! /usr/bin/crm
#
# alternating_example_neural.crm - Alternating Example Neural
# Network Classifier training test
# Copyright 2009 William S. Yerazunis.
# This file is under GPLv3, as described in COPYING.
window
{
output /**** Alternating Example Neural Network Classifier TRAINING\n/
# load the files in
isolate (:Macbeth: :Alice:)
input (:Macbeth:) [ Macbeth_Act_IV.txt 0 16000]
input (:Alice:) [ Alice_In_Wonderland_Chap_1_And_2.txt 0 16000]
# Now loop.
isolate (:loopcontrol:) //
isolate (:loopcounter:) /0/
{
eval (:loopcounter:) / :@: :*:loopcounter: + 1 : /
# output /Top of loop at :*:loopcounter: \n/
match [:loopcontrol:] <absent> /./
{
{
# Grab a good chunk of Macbeth...
match <fromend> (:onep:) /(....){255}.*?\n/ [:Macbeth:]
match [:onep:] /.../
learn [:onep:] < neural unigram append> (m_test.css)
learn [:onep:] < neural unigram refute append> (a_test.css)
}
alius # Set done mark
{
alter (:loopcontrol:) /X/
}
}
{
{
# Grab a good chunk of Alice...
match <fromend> (:twop:) /(....){255}.*?\n/ [:Alice:]
match [:twop:] /.../
learn [:twop:] < neural unigram append> (a_test.css)
learn [:twop:] < neural unigram refute append> (m_test.css)
}
alius # reset to start of Macbeth file.
{
alter (:loopcontrol:) /X/
}
}
liaf
}
# Now run one fromstart loop on each of the files
learn [:_nl:] <neural fromstart bychunk> (m_test.css)
learn [:_nl:] <neural fromstart bychunk> (a_test.css)
}
output /\n**** Alternating Example Neural Network Classifier RUNNING TEST\n/
isolate (:s:)
isolate (:filetxt:) //
{
input (:filetxt:) [ Alice_In_Wonderland_Chap_1_And_2.txt 16000 4096 ]
match (:t1:) [:filetxt:] /(....){255}.*?\n\n/
{
classify < neural unigram> ( m_test.css | a_test.css ) (:s:)/[[:graph:]]+/ [:t1:]
output / type M \n:*:s:\n/
}
alius
{ output / type A \n:*:s:\n/ }
}
{
isolate (:t2:) //
input (:filetxt:) [ Macbeth_Act_IV.txt 16000 4096 ]
match (:t2:) [:filetxt:] /(....){255}.*?\n/
{
classify < neural unigram > ( m_test.css | a_test.css ) (:s:) /[[:graph:]]+/ [:t2:]
output / type M \n:*:s:\n/
}
alius
{ output / type A \n:*:s:\n/ }
}
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