Added vanilla tutorial

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+---
+layout: post
+title: "Development: Vanilla Version"
+description: ""
+category: development
+tags: [Lazar, Fminer, 4store, BBRC, LAST-PM, Tutorials]
+---
+{% include JB/setup %}
+
+[Install development](http://opentox.github.com/setup/2012/08/09/install-opentox-development-environment/) version, using `bash`. Make sure ot-tools are available (instert `ot` and press `<TAB>`).
+
+Source from `$HOME`:
+
+    # configure
+    otconfig
+    otstart all
+    lh="http://localhost"
+
+    # util 
+    function get_result {
+      task=$1
+      while [ 1 ]; do
+        result=`curl -H "accept:text/uri-list" $task 2>/dev/null`
+        [ $result == $task ] && sleep 1 || break
+      done
+      echo $result
+    }
+
+Load dataset.
+ 
+    # load ds
+    cd
+    task=`curl -X POST \
+    -F "file=@opentox-ruby/opentox-test/test/data/hamster_carcinogenicity.csv;type=text/csv" \
+    $lh:8083/dataset`
+    ds=`get_result "$task"`
+    echo "hamster: $ds" 
+
+Mine subgraphs. 
+
+    # bbrc feature ds
+    task=`curl -X POST --data-urlencode "dataset_uri=$ds" $lh:8081/algorithm/fminer/bbrc`
+    bbrc_fds=`get_result "$task"`
+    echo "bbrc feature ds: $bbrc_fds" 
+
+    # last-pm feature ds
+    task=`curl -X POST --data-urlencode "dataset_uri=$ds" $lh:8081/algorithm/fminer/last`
+    last_fds=`get_result "$task"`
+    echo "last-pm feature ds: $last_fds" 
+
+Make Lazar models with substructural descriptors. 
+ 
+    # create lazar m w/ bbrc
+    task=`curl -X POST --data-urlencode "dataset_uri=$ds" $lh:8081/algorithm/lazar`
+    lazar_m_bbrc=`get_result "$task"`
+    echo "Hamster model with bbrc: $lazar_m_bbrc"
+
+    # create lazar m w/ last-pm
+    task=`curl -X POST \
+    --data-urlencode "dataset_uri=$ds" \
+    --data-urlencode "feature_generation_uri=$lh:8081/algorithm/fminer/last" \
+    $lh:8081/algorithm/lazar`
+    lazar_m_last=`get_result "$task"` 
+    echo "Hamster model with last-pm: $lazar_m_last" 
+
+Make predictions with BBRC (LAST-PM would also work).
+
+    # make benzene prediction w lazar m w/ bbrc
+    task=`curl -X POST \
+    --data-urlencode "compound_uri=$lh:8082/compound/InChI=1S/C6H6/c1-2-4-6-5-3-1/h1-6H" \
+    $lazar_m_bbrc`
+    lazar_p_bbrc=`get_result "$task"`
+    echo "Benzene prediction with bbrc model: $lazar_p_bbrc" 
+
+    # make a database prediction
+    task=`curl -X POST \
+    --data-urlencode "compound_uri=$lh:8082/compound/InChI=1S/C12H12N2O3/c1-2-12(8-6-4-3-5-7-8)9(15)13-11(17)14-10(12)16/h3-7H,2H2,1H3,(H2,13,14,15,16,17)" \ 
+    $lazar_m_bbrc`
+    lazar_p_bbrc=`get_result "$task"`
+    echo "Benzene prediction with bbrc model: $lazar_p_bbrc" 
+
+The result dataset does not yet contain verbose information (neighbors etc).
+
+The example below demonstrates how much time each step approximately consumes during prediction. Call is: 
+
+    curl -X POST --data-urlencode "compound_uri=$lh:8082/compound/InChI=1S/C6H6/c1-2-4-6-5-3-1/h1-6H" $lazar_m_bbrc
+
+i.e. predict benzene for hamster carcinogenicity.
+
+    10:23:34 :: Inited p dataset :: /lazar.rb:135
+    10:23:35 :: Loaded t dataset :: /lazar.rb:139
+    10:23:44 :: Loaded f dataset :: /lazar.rb:143
+    10:23:44 :: Calced q fps :: /lazar.rb:149
+    10:23:44 :: Custom model :: /lazar.rb:20
+    10:23:45 :: Filled m data :: /lazar.rb:163
+    10:23:45 :: F: 11x54; R: 54 :: /transform.rb:402
+    10:23:45 :: Sims: 11, Acts: 11 :: /transform.rb:403
+    10:23:45 :: Transformed m :: /lazar.rb:166
+    10:23:45 :: Weighted Majority Vote :: /algorithm.rb:30
+    10:23:45 :: Prediction is: '2'. :: /algorithm.rb:56
+    10:23:45 :: Confidence is: '0.25281 :: /algorithm.rb:58
+    10:23:45 :: Predicted q :: /lazar.rb:174
+
+Time total: 11s, Time Dataset loading: 10s