Configurations for generation and new domain for generation ecore model

1 files changed, 29 insertions, 29 deletions

diff --git a/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb b/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb
index 543b0ab7..8d7b1bc3 100644
--- a/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb
+++ b/Metrics/Metrics-Calculation/metrics_plot/model_evolve_comparison/src/representative_selector .ipynb
@@ -64,16 +64,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "231"
+       "198"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -90,7 +90,7 @@
     "    orientation='horizontal'\n",
     ")\n",
     "\n",
-    "humanFiles = reader.readmultiplefiles('../input/human_models_75/', 1300, False)\n",
+    "humanFiles = reader.readmultiplefiles('../input/human_30_500_no_xml/', 1300, False)\n",
     "modelToFileName = {}\n",
     "for name in humanFiles:\n",
     "    modelToFileName[GraphStat(name)] = name\n",
@@ -115,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -164,15 +164,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "../input/human_models_75\\146.csv\n",
-      "../input/human_models_75\\146.csv\n"
+      "../input/human_30_500_no_xml\\rdm_run_1.csv\n",
+      "../input/human_30_500_no_xml\\rdm_run_1.csv\n"
      ]
     }
    ],
@@ -185,17 +185,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "average distance:  0.14846721554626746\n",
-      "median:  0.11344781014856264\n",
-      "std:  0.0839789139821567\n",
-      "max: 0.40999194198227235\n",
+      "average distance:  0.1120958646931491\n",
+      "median:  0.07794784580498866\n",
+      "std:  0.10338893965532157\n",
+      "max: 0.8512271307452031\n",
       "min: 0.0\n"
      ]
     }
@@ -242,15 +242,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "../input/human_models_75\\97.csv\n",
-      "../input/human_models_75\\97.csv\n"
+      "../input/human_30_500_no_xml\\XSHMLMT_run_1.csv\n",
+      "../input/human_30_500_no_xml\\XSHMLMT_run_1.csv\n"
      ]
     }
    ],
@@ -263,17 +263,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "average distance:  0.16296252607812808\n",
-      "median:  0.11606886657101867\n",
-      "std:  0.1196590575339798\n",
-      "max: 0.49411764705882355\n",
+      "average distance:  0.11606713468404145\n",
+      "median:  0.08615545879696823\n",
+      "std:  0.09424733847431985\n",
+      "max: 0.8536367692994199\n",
       "min: 0.0\n"
      ]
     }
@@ -320,15 +320,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "../input/human_models_75\\151.csv\n",
-      "../input/human_models_75\\151.csv\n"
+      "../input/human_30_500_no_xml\\Sql_run_1.csv\n",
+      "../input/human_30_500_no_xml\\Sql_run_1.csv\n"
      ]
     }
    ],
@@ -341,17 +341,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "average distance:  0.18751521685526348\n",
-      "median:  0.13400833829660508\n",
-      "std:  0.13829078925748192\n",
-      "max: 0.5745366639806608\n",
+      "average distance:  0.1365610722702415\n",
+      "median:  0.10589419186354082\n",
+      "std:  0.09795223151686845\n",
+      "max: 0.8574673315618971\n",
       "min: 0.0\n"
      ]
     }