commit a5a6d9bd3fe74c355e39d7c320d931bfcae2c1a7
Author: aboelhamd <aboelhamd.abotreka@gmail.com>
Date:   Mon Jul 29 19:14:01 2019 +0200

    script is finished and ready to be tested

diff --git a/loadmodels.ipynb b/loadmodels.ipynb
index 6ddce66..c244d10 100644
--- a/loadmodels.ipynb
+++ b/loadmodels.ipynb
@@ -17,10 +17,13 @@
    "source": [
     "import os\n",
     "\n",
-    "path='/home/aboelhamd/Downloads/sklearn-svm/sklearn-nobad'\n",
+    "models_path='sklearn-models'\n",
+    "model_name='LinearSVM'\n",
+    "output_path='output.csv'\n",
+    "dataset_path='/home/aboelhamd/Downloads/sklearn-svm/sklearn-nobad'\n",
     "files = {}\n",
     "# r=root, d=directories, f=files\n",
-    "for r, d, f in os.walk(path):\n",
+    "for r, d, f in os.walk(dataset_path):\n",
     "    for file in f:\n",
     "        files[file]=os.path.join(r, file)\n",
     "\n",
@@ -15466,7 +15469,7 @@
     "    \n",
     "    # words (features) encoding\n",
     "    # load the encoder\n",
-    "    enc = joblib.load('models/'+'encoder'+'-'+file[:-4])\n",
+    "    enc = joblib.load(models_path+'/'+'encoder'+'-'+file[:-4])\n",
     "    # remove records with unseen word, will return always 0 for that record\n",
     "    # this will be solved later\n",
     "    unseen = []\n",
@@ -15490,11 +15493,18 @@
     "    # prediction by using svm\n",
     "#     print(\"model :\", name, \",\", end = '')\n",
     "    name = 'LinearSVM'\n",
-    "    modelname = 'sklearn-models/'+name+'-'+file[:-4]+'.model'\n",
+    "    modelname = models_path+'/'+name+'-'+file[:-4]+'.model'\n",
     "    loaded_model = joblib.load(modelname)\n",
     "    rules = loaded_model.predict(samples)\n",
-    "    \n",
+    "    # insert zero in unseen data\n",
+    "    for i in range(len(data.values)) :\n",
+    "        if data.value[i] in unseen :\n",
+    "            rules.insert(i,0)\n",
+    "\n",
     "    # write results in file\n",
+    "    output = open(output_path, 'w+')\n",
+    "    for rule in rules :\n",
+    "        output.write(rule+\"\\n\")\n",
     "    \n",
     "    print(\"----------------------------------------------\\n\")\n"
    ]