java -ea -Xmx1624m edu.mit.sketch.messy.SCTester -scales 1 2 3 -o results/2005-10-12-outdir -t templates/new/*-labeled.xml -i circuits/*-labeled.xml


bigjava -pyramid -o all.pts -templates circuits/*-labeled.xml

Steps:
Generate the precomputed templates

bigjava edu.mit.sketch.messy.ContextUtils -serialize templates/new/*labeled.xml -o serialized/75-codebook.srl -size 75

bigjava edu.mit.sketch.messy.ContextUtils -serialize circuits/{adfa,bank,bean}*-labeled.xml -o serialized/75-adfa-bank-bean.srl -size 75

bigjava edu.mit.sketch.messy.ContextUtils -serialize circuits/{bowwow,Chin,elsie}*-labeled.xml -o serialized/75-bowwow-Chin-elsie.srl -size 75


Generate the arff file(s):

bigjava edu.mit.sketch.messy.Trainer -arff -o weka-data/75-smooth \
    -codebook serialized/75-codebook.srl \
    -train    serialized/75-adfa-bank-bean.srl \
    -test     serialized/75-bowwow-Chin-elsie.srl


bigjava edu.mit.sketch.messy.Trainer -size 50  -srl -arff \
    -select 10
    -codebook templates/new/*labeled.xml \
    -train circuits/{adfa,bank,bean,bowwow}*labeled.xml \
    -test circuits/{Chin,elsie}*labeled.xml 
    -o weka-data/50-normalized 

Build the classification model with weka


