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53 lines
2.1 KiB
53 lines
2.1 KiB
diff -up ./tools/easy.py.toolsDir ./tools/easy.py
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--- ./tools/easy.py.toolsDir 2013-03-31 17:06:49.000000000 +1000
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+++ ./tools/easy.py 2013-04-13 23:17:53.399526910 +1000
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@@ -12,10 +12,10 @@ if len(sys.argv) <= 1:
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is_win32 = (sys.platform == 'win32')
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if not is_win32:
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- svmscale_exe = "../svm-scale"
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- svmtrain_exe = "../svm-train"
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- svmpredict_exe = "../svm-predict"
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- grid_py = "./grid.py"
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+ svmscale_exe = "/usr/bin/svm-scale"
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+ svmtrain_exe = "/usr/bin/svm-train"
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+ svmpredict_exe = "/usr/bin/svm-predict"
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+ grid_py = "/usr/bin/svm-grid.py"
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gnuplot_exe = "/usr/bin/gnuplot"
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else:
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# example for windows
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@@ -47,7 +47,7 @@ if len(sys.argv) > 2:
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cmd = '{0} -s "{1}" "{2}" > "{3}"'.format(svmscale_exe, range_file, train_pathname, scaled_file)
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print('Scaling training data...')
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-Popen(cmd, shell = True, stdout = PIPE).communicate()
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+Popen(cmd, shell = True, stdout = PIPE).communicate()
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cmd = '{0} -svmtrain "{1}" -gnuplot "{2}" "{3}"'.format(grid_py, svmtrain_exe, gnuplot_exe, scaled_file)
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print('Cross validation...')
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@@ -70,10 +70,10 @@ print('Output model: {0}'.format(model_f
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if len(sys.argv) > 2:
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cmd = '{0} -r "{1}" "{2}" > "{3}"'.format(svmscale_exe, range_file, test_pathname, scaled_test_file)
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print('Scaling testing data...')
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- Popen(cmd, shell = True, stdout = PIPE).communicate()
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+ Popen(cmd, shell = True, stdout = PIPE).communicate()
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cmd = '{0} "{1}" "{2}" "{3}"'.format(svmpredict_exe, scaled_test_file, model_file, predict_test_file)
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print('Testing...')
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- Popen(cmd, shell = True).communicate()
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+ Popen(cmd, shell = True).communicate()
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print('Output prediction: {0}'.format(predict_test_file))
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diff -up ./tools/grid.py.toolsDir ./tools/grid.py
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--- ./tools/grid.py.toolsDir 2013-03-31 17:06:50.000000000 +1000
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+++ ./tools/grid.py 2013-04-13 23:18:53.964522769 +1000
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@@ -18,7 +18,7 @@ class GridOption:
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def __init__(self, dataset_pathname, options):
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dirname = os.path.dirname(__file__)
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if sys.platform != 'win32':
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- self.svmtrain_pathname = os.path.join(dirname, '../svm-train')
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+ self.svmtrain_pathname = '/usr/bin/svm-train'
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self.gnuplot_pathname = '/usr/bin/gnuplot'
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else:
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# example for windows
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