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Add Levenshtein example. Bump TrustyAI to 0.4.0
1 parent 396305f commit 6c38778

13 files changed

+1530
-1024
lines changed

‎examples/Counterfactuals.ipynb

+100-110
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‎examples/Dataset.ipynb

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@@ -74,55 +74,55 @@
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" <tr>\n",
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" <td>769f28d7-df70-4907-8f49-f8a5efeadbb2</td>\n",
80-
" <td>17</td>\n",
81-
" <td>False</td>\n",
77+
" <td>199.691719</td>\n",
78+
" <td>8423.634001</td>\n",
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" <td>aa433471-f2f4-4210-beab-2a5fde4afc93</td>\n",
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" <td>13</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>33</td>\n",
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" <td>False</td>\n",
85+
" <td>175.015510</td>\n",
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" <td>5144.954980</td>\n",
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" <td>8c8cfe67-7257-4f3d-9506-f4816c4e770e</td>\n",
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" <td>41</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>8de2e39b-406c-48ce-a6cc-169ee8f73ef0</td>\n",
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" <td>39</td>\n",
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" <td>181.826085</td>\n",
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" <td>8659.891995</td>\n",
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" <td>7bd8c06d-1064-4f13-b372-c65af8e30149</td>\n",
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" <td>41</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>170.961902</td>\n",
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" <td>8536.049163</td>\n",
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" <td>5727068c-35c9-4cde-83f0-9b5f522373de</td>\n",
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" <td>39</td>\n",
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" <td>166.700817</td>\n",
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" <td>7487.153923</td>\n",
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" <td>2b0370a4-b41e-4b16-9c1f-a65f0a65464c</td>\n",
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" <td>3</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>172.601273</td>\n",
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" <td>7478.442753</td>\n",
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" <td>76c9587b-e68f-45e8-a39d-ed9fab2b5609</td>\n",
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" <td>11</td>\n",
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" <td>False</td>\n",
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" <td>157.718382</td>\n",
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" <td>5539.941095</td>\n",
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" <td>6c245358-d261-4e15-8517-c3f09ecdac66</td>\n",
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" <td>24</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" x1 x2 x3 x4 select\n",
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"0 110.775961 8897.843314 769f28d7-df70-4907-8f49-f8a5efeadbb2 17 False\n",
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"1 134.706970 5968.935158 4d22cc7d-db38-4e25-8be4-f18394fb3705 33 False\n",
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"2 124.157443 6880.264047 8de2e39b-406c-48ce-a6cc-169ee8f73ef0 39 True\n",
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"3 170.961902 8536.049163 5727068c-35c9-4cde-83f0-9b5f522373de 39 False\n",
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"4 172.601273 7478.442753 76c9587b-e68f-45e8-a39d-ed9fab2b5609 11 False"
121+
"0 199.691719 8423.634001 aa433471-f2f4-4210-beab-2a5fde4afc93 13 True\n",
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"1 175.015510 5144.954980 8c8cfe67-7257-4f3d-9506-f4816c4e770e 41 True\n",
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"2 181.826085 8659.891995 7bd8c06d-1064-4f13-b372-c65af8e30149 41 True\n",
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"3 166.700817 7487.153923 2b0370a4-b41e-4b16-9c1f-a65f0a65464c 3 False\n",
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"4 157.718382 5539.941095 6c245358-d261-4e15-8517-c3f09ecdac66 24 True"
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]
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},
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"execution_count": 3,
@@ -185,7 +185,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Feature{name='x1', type=number, value=110.77596090318106}, Feature{name='x2', type=number, value=8897.843313935722}, Feature{name='x3', type=categorical, value=769f28d7-df70-4907-8f49-f8a5efeadbb2}, Feature{name='x4', type=number, value=17}]\n"
188+
"[Feature{name='x1', type=number, value=199.69171905389746}, Feature{name='x2', type=number, value=8423.634000506001}, Feature{name='x3', type=categorical, value=aa433471-f2f4-4210-beab-2a5fde4afc93}, Feature{name='x4', type=number, value=13}]\n"
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]
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}
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],
@@ -224,7 +224,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Output{value=false, type=boolean, score=1.0, name='select'}]\n"
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"[Output{value=true, type=boolean, score=1.0, name='select'}]\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Feature{name='x2', type=number, value=8897.843313935722}, Feature{name='x3', type=categorical, value=769f28d7-df70-4907-8f49-f8a5efeadbb2}, Feature{name='select', type=boolean, value=false}]\n"
263+
"[Feature{name='x2', type=number, value=8423.634000506001}, Feature{name='x3', type=categorical, value=aa433471-f2f4-4210-beab-2a5fde4afc93}, Feature{name='select', type=boolean, value=true}]\n"
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]
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}
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],
@@ -278,7 +278,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Output{value=110.77596090318106, type=number, score=1.0, name='x1'}, Output{value=17.0, type=number, score=1.0, name='x4'}]\n"
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"[Output{value=199.69171905389746, type=number, score=1.0, name='x1'}, Output{value=13.0, type=number, score=1.0, name='x4'}]\n"
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]
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}
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],
@@ -313,16 +313,16 @@
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{
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"data": {
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"text/plain": [
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"array([[0.4941837 , 0.54138924, 0.79744718, 0.75966474, 0.6663965 ],\n",
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" [0.61321356, 0.93126828, 0.33589273, 0.41798983, 0.77295471],\n",
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" [0.0741324 , 0.22773897, 0.8609951 , 0.14798847, 0.29693842],\n",
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" [0.51173195, 0.29453894, 0.06253411, 0.39614618, 0.11552075],\n",
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" [0.46702147, 0.11739192, 0.2025332 , 0.19551742, 0.86863743],\n",
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" [0.17245352, 0.17041101, 0.57627698, 0.68669061, 0.37271922],\n",
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" [0.33980101, 0.45839755, 0.32261154, 0.9704679 , 0.13569625],\n",
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" [0.19868834, 0.30223221, 0.40911422, 0.53045714, 0.14810708],\n",
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" [0.85424792, 0.53920094, 0.17639279, 0.0272658 , 0.59151213],\n",
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" [0.94555969, 0.67387324, 0.06552553, 0.02347923, 0.3843669 ]])"
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"array([[0.68468018, 0.60703705, 0.7619673 , 0.56649717, 0.72130264],\n",
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" [0.89003104, 0.84624854, 0.01211185, 0.271607 , 0.58048523],\n",
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" [0.32379929, 0.33718089, 0.41112117, 0.82583901, 0.65967431],\n",
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" [0.48934436, 0.28016091, 0.21326921, 0.66476719, 0.09109155],\n",
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" [0.02946721, 0.8990184 , 0.39921803, 0.7282812 , 0.18430694],\n",
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" [0.04172949, 0.39444183, 0.04355018, 0.88119431, 0.25622821],\n",
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" [0.76606467, 0.60040384, 0.07779518, 0.67480852, 0.7191328 ],\n",
323+
" [0.29319575, 0.84587892, 0.43774675, 0.23388257, 0.92403114],\n",
324+
" [0.96647025, 0.35831978, 0.8780017 , 0.18066205, 0.85001627],\n",
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" [0.93969352, 0.53751407, 0.35651024, 0.52651873, 0.53328941]])"
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]
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},
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"execution_count": 13,
@@ -383,7 +383,7 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Feature{name='input-0', type=number, value=0.49418369920147376}, Feature{name='input-1', type=number, value=0.541389237195627}, Feature{name='input-2', type=number, value=0.79744718322189}, Feature{name='input-3', type=number, value=0.7596647445704917}]\n"
386+
"[Feature{name='input-0', type=number, value=0.6846801847772033}, Feature{name='input-1', type=number, value=0.6070370508287989}, Feature{name='input-2', type=number, value=0.7619673021775413}, Feature{name='input-3', type=number, value=0.5664971655888972}]\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Output{value=0.6663965038979389, type=number, score=1.0, name='output-0'}]\n"
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"[Output{value=0.7213026353546987, type=number, score=1.0, name='output-0'}]\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Feature{name='input-0', type=number, value=0.541389237195627}, Feature{name='input-1', type=number, value=0.7596647445704917}, Feature{name='input-2', type=number, value=0.6663965038979389}]\n"
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"[Feature{name='input-0', type=number, value=0.6070370508287989}, Feature{name='input-1', type=number, value=0.5664971655888972}, Feature{name='input-2', type=number, value=0.7213026353546987}]\n"
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]
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[Output{value=0.49418369920147376, type=number, score=1.0, name='output-0'}, Output{value=0.79744718322189, type=number, score=1.0, name='output-1'}]\n"
458+
"[Output{value=0.6846801847772033, type=number, score=1.0, name='output-0'}, Output{value=0.7619673021775413, type=number, score=1.0, name='output-1'}]\n"
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]
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}
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],
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"source": [
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"print(ds.outputs[0].outputs)"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "169523a6",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.0"
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"version": "3.11.7"
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},
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"toc": {
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"base_numbering": 1,

‎examples/EnergyLoadForecasting.ipynb

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‎examples/EngineFaultDetection.ipynb

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‎examples/GroupFairnessMetrics.ipynb

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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/rui/.virtualenvs/trustyai-explainability-python-examples/lib/python3.10/site-packages/xgboost/compat.py:31: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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"/home/rui/.virtualenvs/trustyai-explainability-python-examples/lib/python3.11/site-packages/xgboost/compat.py:31: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n",
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"/Users/rui/.virtualenvs/trustyai-explainability-python-examples/lib/python3.10/site-packages/xgboost/data.py:208: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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"/home/rui/.virtualenvs/trustyai-explainability-python-examples/lib/python3.11/site-packages/xgboost/data.py:208: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
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" from pandas import MultiIndex, Int64Index\n"
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]
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}
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" positive_class=[1])\n",
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"print(score)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ad3d2363",
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"metadata": {},
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"outputs": [],
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"source": []
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"metadata": {
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"kernelspec": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.0"
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"version": "3.11.7"
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}
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},
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"nbformat": 4,

‎examples/LanguageMetrics.ipynb

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