10 files changed, 670 insertions, 0 deletions

diff --git a/data/iris/svm_light/run.sh b/data/iris/svm_light/run.sh
new file mode 100755
index 0000000..9040912
--- /dev/null
+++ b/data/iris/svm_light/run.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+
+
+for i in setosa virginica versicolor; do
+  ../../svm_light/svm_learn ../bezdekIris.$i-v-rest.shuf.data $i.model &>$i.learnout
+done
+
diff --git a/data/iris/svm_light/setosa.learnout b/data/iris/svm_light/setosa.learnout
new file mode 100644
index 0000000..b5ff56e
--- /dev/null
+++ b/data/iris/svm_light/setosa.learnout
@@ -0,0 +1,18 @@
+Scanning examples...done
+Reading examples into memory...100..OK. (150 examples read)
+Setting default regularization parameter C=0.0162
+Optimizing...............done. (16 iterations)
+Optimization finished (0 misclassified, maxdiff=0.00000).
+Runtime in cpu-seconds: 0.00
+Number of SV: 36 (including 34 at upper bound)
+L1 loss: loss=5.54515
+Norm of weight vector: |w|=0.68130
+Norm of longest example vector: |x|=11.11126
+Estimated VCdim of classifier: VCdim<=30.12233
+Computing XiAlpha-estimates...done
+Runtime for XiAlpha-estimates in cpu-seconds: 0.00
+XiAlpha-estimate of the error: error<=22.67% (rho=1.00,depth=0)
+XiAlpha-estimate of the recall: recall=>66.00% (rho=1.00,depth=0)
+XiAlpha-estimate of the precision: precision=>66.00% (rho=1.00,depth=0)
+Number of kernel evaluations: 1803
+Writing model file...done
diff --git a/data/iris/svm_light/setosa.model b/data/iris/svm_light/setosa.model
new file mode 100644
index 0000000..139fa72
--- /dev/null
+++ b/data/iris/svm_light/setosa.model
@@ -0,0 +1,47 @@
+SVM-light Version V6.02
+0 # kernel type
+3 # kernel parameter -d 
+1 # kernel parameter -g 
+1 # kernel parameter -s 
+1 # kernel parameter -r 
+empty# kernel parameter -u 
+4 # highest feature index 
+150 # number of training documents 
+37 # number of support vectors plus 1 
+-1.941408 # threshold b, each following line is a SV (starting with alpha*y)
+-0.016249222750612444393647493257049 1:5.5 2:2.5 3:4 4:1.3 #
+0.016249222750612444393647493257049 1:4.9000001 2:3.0999999 3:1.5 4:0.1 #
+-0.016249222750612444393647493257049 1:5.0999999 2:2.5 3:3 4:1.1 #
+-0.016249222750612444393647493257049 1:4.9000001 2:2.4000001 3:3.3 4:1 #
+0.016249222750612444393647493257049 1:5.6999998 2:3.8 3:1.7 4:0.30000001 #
+0.016249222750612444393647493257049 1:4.8000002 2:3.4000001 3:1.6 4:0.2 #
+-0.016249222750612444393647493257049 1:5 2:2.3 3:3.3 4:1 #
+-0.016249222750612444393647493257049 1:5.6999998 2:2.5999999 3:3.5 4:1 #
+0.016249222750612444393647493257049 1:5.0999999 2:3.3 3:1.7 4:0.5 #
+0.016249222750612444393647493257049 1:4.8000002 2:3.4000001 3:1.9 4:0.2 #
+-0.016249222750612444393647493257049 1:5.5999999 2:2.9000001 3:3.5999999 4:1.3 #
+-0.016249222750612444393647493257049 1:5 2:2 3:3.5 4:1 #
+0.016249222750612444393647493257049 1:5.0999999 2:3.8 3:1.9 4:0.40000001 #
+0.016249222750612444393647493257049 1:5 2:3 3:1.6 4:0.2 #
+-0.016249222750612444393647493257049 1:5.5 2:2.4000001 3:3.7 4:1 #
+0.016249222750612444393647493257049 1:4.5 2:2.3 3:1.3 4:0.30000001 #
+-0.016249222750612444393647493257049 1:5.5 2:2.4000001 3:3.8 4:1.1 #
+-0.016249222750612444393647493257049 1:5.1999998 2:2.7 3:3.9000001 4:1.4 #
+0.016249222750612444393647493257049 1:5.4000001 2:3.4000001 3:1.7 4:0.2 #
+0.016249222750612444393647493257049 1:5 2:3.5 3:1.6 4:0.60000002 #
+-0.016249222750612444393647493257049 1:5.8000002 2:2.7 3:3.9000001 4:1.2 #
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+-0.016249222750612444393647493257049 1:5.5999999 2:2.5 3:3.9000001 4:1.1 #
+0.016249222750612444393647493257049 1:5 2:3.4000001 3:1.6 4:0.40000001 #
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+-0.016249222750612444393647493257049 1:5.8000002 2:2.7 3:4.0999999 4:1 #
+0.016249222750612444393647493257049 1:5.4000001 2:3.9000001 3:1.7 4:0.40000001 #
+0.016249222750612444393647493257049 1:5.4000001 2:3.4000001 3:1.5 4:0.40000001 #
+-0.016249222750612444393647493257049 1:5.8000002 2:2.5999999 3:4 4:1.2 #
+0.016249222750612444393647493257049 1:4.6999998 2:3.2 3:1.6 4:0.2 #
+-0.016249222750612444393647493257049 1:6.0999999 2:2.8 3:4 4:1.3 #
+-0.016249222750612444393647493257049 1:5.6999998 2:3 3:4.1999998 4:1.2 #
+0.016249222750612444393647493257049 1:4.9000001 2:3.0999999 3:1.5 4:0.2 #
+0.016249222750612444393647493257049 1:4.8000002 2:3 3:1.4 4:0.30000001 #
+-0.00090280526935266995625095631794466 1:5.6999998 2:2.8 3:4.0999999 4:1.3 #
+0.00090280526935266518576139738172515 1:5.0999999 2:3.4000001 3:1.5 4:0.2 #
diff --git a/data/iris/svm_light/svm_predictions b/data/iris/svm_light/svm_predictions
new file mode 100644
index 0000000..e104970
--- /dev/null
+++ b/data/iris/svm_light/svm_predictions
@@ -0,0 +1,150 @@
+-1.8138697
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diff --git a/data/iris/svm_light/versicolor-v-rest.model b/data/iris/svm_light/versicolor-v-rest.model
new file mode 100644
index 0000000..e2f8f03
--- /dev/null
+++ b/data/iris/svm_light/versicolor-v-rest.model
@@ -0,0 +1,112 @@
+SVM-light Version V6.02
+0 # kernel type
+3 # kernel parameter -d 
+1 # kernel parameter -g 
+1 # kernel parameter -s 
+1 # kernel parameter -r 
+empty# kernel parameter -u 
+4 # highest feature index 
+150 # number of training documents 
+102 # number of support vectors plus 1 
+0.72531938 # threshold b, each following line is a SV (starting with alpha*y)
+-0.016249222750612423576965781535364 1:4.5 2:2.3 3:1.3 4:0.30000001 #
+0.016249222750612423576965781535364 1:5.5999999 2:2.9000001 3:3.5999999 4:1.3 #
+-0.016249222750612423576965781535364 1:6.5 2:3 3:5.5 4:1.8 #
+-0.016249222750612423576965781535364 1:7.6999998 2:2.5999999 3:6.9000001 4:2.3 #
+0.016249222750612423576965781535364 1:5.0999999 2:2.5 3:3 4:1.1 #
+0.016249222750612423576965781535364 1:4.9000001 2:2.4000001 3:3.3 4:1 #
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diff --git a/data/iris/svm_light/versicolor.learnout b/data/iris/svm_light/versicolor.learnout
new file mode 100644
index 0000000..f2130b5
--- /dev/null
+++ b/data/iris/svm_light/versicolor.learnout
@@ -0,0 +1,18 @@
+Scanning examples...done
+Reading examples into memory...100..OK. (150 examples read)
+Setting default regularization parameter C=0.0162
+Optimizing.........................................................................done. (74 iterations)
+Optimization finished (50 misclassified, maxdiff=0.00038).
+Runtime in cpu-seconds: 0.00
+Number of SV: 101 (including 99 at upper bound)
+L1 loss: loss=99.35495
+Norm of weight vector: |w|=0.10241
+Norm of longest example vector: |x|=11.11126
+Estimated VCdim of classifier: VCdim<=2.24751
+Computing XiAlpha-estimates...done
+Runtime for XiAlpha-estimates in cpu-seconds: 0.00
+XiAlpha-estimate of the error: error<=66.67% (rho=1.00,depth=0)
+XiAlpha-estimate of the recall: recall=>0.00% (rho=1.00,depth=0)
+XiAlpha-estimate of the precision: precision=>0.00% (rho=1.00,depth=0)
+Number of kernel evaluations: 2578
+Writing model file...done
diff --git a/data/iris/svm_light/versicolor.model b/data/iris/svm_light/versicolor.model
new file mode 100644
index 0000000..e2f8f03
--- /dev/null
+++ b/data/iris/svm_light/versicolor.model
@@ -0,0 +1,112 @@
+SVM-light Version V6.02
+0 # kernel type
+3 # kernel parameter -d 
+1 # kernel parameter -g 
+1 # kernel parameter -s 
+1 # kernel parameter -r 
+empty# kernel parameter -u 
+4 # highest feature index 
+150 # number of training documents 
+102 # number of support vectors plus 1 
+0.72531938 # threshold b, each following line is a SV (starting with alpha*y)
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+-0.016249222750612423576965781535364 1:6.5 2:3 3:5.5 4:1.8 #
+-0.016249222750612423576965781535364 1:7.6999998 2:2.5999999 3:6.9000001 4:2.3 #
+0.016249222750612423576965781535364 1:5.0999999 2:2.5 3:3 4:1.1 #
+0.016249222750612423576965781535364 1:4.9000001 2:2.4000001 3:3.3 4:1 #
+-0.016249222750612423576965781535364 1:4.3000002 2:3 3:1.1 4:0.1 #
+0.016249222750612423576965781535364 1:6.9000001 2:3.0999999 3:4.9000001 4:1.5 #
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diff --git a/data/iris/svm_light/virginica-v-rest.shuf.data.model b/data/iris/svm_light/virginica-v-rest.shuf.data.model
new file mode 100644
index 0000000..ce63e74
--- /dev/null
+++ b/data/iris/svm_light/virginica-v-rest.shuf.data.model
@@ -0,0 +1,94 @@
+SVM-light Version V6.02
+0 # kernel type
+3 # kernel parameter -d 
+1 # kernel parameter -g 
+1 # kernel parameter -s 
+1 # kernel parameter -r 
+empty# kernel parameter -u 
+4 # highest feature index 
+150 # number of training documents 
+84 # number of support vectors plus 1 
+5.1687631 # threshold b, each following line is a SV (starting with alpha*y)
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+0.016249222750612440924200541303435 1:6.6999998 2:3.3 3:5.6999998 4:2.5 #
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+7.3506179476545696616085479035974e-08 1:7.4000001 2:2.8 3:6.0999999 4:1.9 #
+0.013385318597272516383256402150437 1:6.3000002 2:3.3 3:6 4:2.5 #
diff --git a/data/iris/svm_light/virginica.learnout b/data/iris/svm_light/virginica.learnout
new file mode 100644
index 0000000..2dee3bc
--- /dev/null
+++ b/data/iris/svm_light/virginica.learnout
@@ -0,0 +1,18 @@
+Scanning examples...done
+Reading examples into memory...100..OK. (150 examples read)
+Setting default regularization parameter C=0.0162
+Optimizing..............................................done. (47 iterations)
+Optimization finished (9 misclassified, maxdiff=0.00047).
+Runtime in cpu-seconds: 0.00
+Number of SV: 83 (including 80 at upper bound)
+L1 loss: loss=45.24874
+Norm of weight vector: |w|=0.76906
+Norm of longest example vector: |x|=11.11126
+Estimated VCdim of classifier: VCdim<=62.16794
+Computing XiAlpha-estimates...done
+Runtime for XiAlpha-estimates in cpu-seconds: 0.00
+XiAlpha-estimate of the error: error<=54.67% (rho=1.00,depth=0)
+XiAlpha-estimate of the recall: recall=>18.00% (rho=1.00,depth=0)
+XiAlpha-estimate of the precision: precision=>18.00% (rho=1.00,depth=0)
+Number of kernel evaluations: 1939
+Writing model file...done
diff --git a/data/iris/svm_light/virginica.model b/data/iris/svm_light/virginica.model
new file mode 100644
index 0000000..ce63e74
--- /dev/null
+++ b/data/iris/svm_light/virginica.model
@@ -0,0 +1,94 @@
+SVM-light Version V6.02
+0 # kernel type
+3 # kernel parameter -d 
+1 # kernel parameter -g 
+1 # kernel parameter -s 
+1 # kernel parameter -r 
+empty# kernel parameter -u 
+4 # highest feature index 
+150 # number of training documents 
+84 # number of support vectors plus 1 
+5.1687631 # threshold b, each following line is a SV (starting with alpha*y)
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+0.016249222750612440924200541303435 1:4.9000001 2:2.5 3:4.5 4:1.7 #
+-0.016249222750612440924200541303435 1:6 2:2.7 3:5.0999999 4:1.6 #
+0.016249222750612440924200541303435 1:6 2:3 3:4.8000002 4:1.8 #
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