diff --git a/tutorials/tutorial_Cobra_linear_regression.ipynb b/tutorials/tutorial_Cobra_linear_regression.ipynb
index dec535f..520e06b 100644
--- a/tutorials/tutorial_Cobra_linear_regression.ipynb
+++ b/tutorials/tutorial_Cobra_linear_regression.ipynb
@@ -539,7 +539,7 @@
{
"data": {
"text/plain": [
- "['acceleration', 'displacement', 'horsepower', 'model_year', 'weight']"
+ "['weight', 'displacement', 'horsepower', 'acceleration', 'model_year']"
]
},
"execution_count": 16,
@@ -627,7 +627,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "e29dbb5dd13243a687712600d61b4494",
+ "model_id": "cf6c51a8c50248cdbffd9b6bba982ff6",
"version_major": 2,
"version_minor": 0
},
@@ -641,7 +641,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "149af6435dde46e8806dfcb1836961af",
+ "model_id": "460a4b7fd9a54be99cd0b35f82c76252",
"version_major": 2,
"version_minor": 0
},
@@ -655,7 +655,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "a5466ac28b504e2b9f4dbf53644e668f",
+ "model_id": "8b3307a862d548bfb48c7fbe1f4b0750",
"version_major": 2,
"version_minor": 0
},
@@ -669,7 +669,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "21f31900b64b4e21b5227f03b55c659b",
+ "model_id": "db838b9f2a2544cfa47a36e6246559ca",
"version_major": 2,
"version_minor": 0
},
@@ -703,7 +703,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "39227c2ce3644e6aa76adbd751ea4b7c",
+ "model_id": "26bd1d208ec04530bcf2abc48cb92ef2",
"version_major": 2,
"version_minor": 0
},
@@ -717,7 +717,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "3df20c089d1e4447be8a14e241a3d231",
+ "model_id": "5a30ec6b7f764bc689d8053924aabf5a",
"version_major": 2,
"version_minor": 0
},
@@ -760,22 +760,22 @@
"
name | \n",
" id | \n",
" split | \n",
- " acceleration_bin | \n",
+ " weight_bin | \n",
" displacement_bin | \n",
" horsepower_bin | \n",
+ " acceleration_bin | \n",
" model_year_bin | \n",
- " weight_bin | \n",
" origin_processed | \n",
" name_processed | \n",
" cylinders_processed | \n",
" origin_enc | \n",
" name_enc | \n",
" cylinders_enc | \n",
- " acceleration_enc | \n",
+ " weight_enc | \n",
" displacement_enc | \n",
" horsepower_enc | \n",
+ " acceleration_enc | \n",
" model_year_enc | \n",
- " weight_enc | \n",
" \n",
" \n",
" \n",
@@ -792,22 +792,22 @@
" chevrolet chevelle malibu | \n",
" 1 | \n",
" validation | \n",
- " 8.0 - 12.0 | \n",
+ " 3432.0 - 3883.0 | \n",
" 250.0 - 318.0 | \n",
" 113.0 - 145.0 | \n",
+ " 8.0 - 12.0 | \n",
" 70.0 - 71.0 | \n",
- " 3432.0 - 3883.0 | \n",
" usa | \n",
" chevrolet chevelle malibu | \n",
" 8 | \n",
" 20.35871 | \n",
" 17.0 | \n",
" 15.051515 | \n",
- " 16.185185 | \n",
+ " 17.129167 | \n",
" 16.793333 | \n",
" 18.769231 | \n",
+ " 16.185185 | \n",
" 19.057143 | \n",
- " 17.129167 | \n",
" \n",
" \n",
" 1 | \n",
@@ -822,22 +822,22 @@
" buick skylark 320 | \n",
" 2 | \n",
" train | \n",
- " 8.0 - 12.0 | \n",
+ " 3432.0 - 3883.0 | \n",
" 318.0 - 350.0 | \n",
" 162.0 - 230.0 | \n",
+ " 8.0 - 12.0 | \n",
" 70.0 - 71.0 | \n",
- " 3432.0 - 3883.0 | \n",
" usa | \n",
" buick skylark 320 | \n",
" 8 | \n",
" 20.35871 | \n",
" 15.0 | \n",
" 15.051515 | \n",
- " 16.185185 | \n",
+ " 17.129167 | \n",
" 15.035294 | \n",
" 13.612500 | \n",
+ " 16.185185 | \n",
" 19.057143 | \n",
- " 17.129167 | \n",
"
\n",
" \n",
" 2 | \n",
@@ -852,22 +852,22 @@
" plymouth satellite | \n",
" 3 | \n",
" train | \n",
- " 8.0 - 12.0 | \n",
+ " 3432.0 - 3883.0 | \n",
" 250.0 - 318.0 | \n",
" 145.0 - 162.0 | \n",
+ " 8.0 - 12.0 | \n",
" 70.0 - 71.0 | \n",
- " 3432.0 - 3883.0 | \n",
" usa | \n",
" plymouth satellite | \n",
" 8 | \n",
" 20.35871 | \n",
" 18.0 | \n",
" 15.051515 | \n",
- " 16.185185 | \n",
+ " 17.129167 | \n",
" 16.793333 | \n",
" 14.380952 | \n",
+ " 16.185185 | \n",
" 19.057143 | \n",
- " 17.129167 | \n",
"
\n",
" \n",
" 3 | \n",
@@ -882,22 +882,22 @@
" amc rebel sst | \n",
" 4 | \n",
" train | \n",
- " 8.0 - 12.0 | \n",
+ " 3432.0 - 3883.0 | \n",
" 250.0 - 318.0 | \n",
" 145.0 - 162.0 | \n",
+ " 8.0 - 12.0 | \n",
" 70.0 - 71.0 | \n",
- " 3432.0 - 3883.0 | \n",
" usa | \n",
" amc rebel sst | \n",
" 8 | \n",
" 20.35871 | \n",
" 16.0 | \n",
" 15.051515 | \n",
- " 16.185185 | \n",
+ " 17.129167 | \n",
" 16.793333 | \n",
" 14.380952 | \n",
+ " 16.185185 | \n",
" 19.057143 | \n",
- " 17.129167 | \n",
"
\n",
" \n",
" 4 | \n",
@@ -912,22 +912,22 @@
" ford torino | \n",
" 5 | \n",
" train | \n",
- " 8.0 - 12.0 | \n",
+ " 3432.0 - 3883.0 | \n",
" 250.0 - 318.0 | \n",
" 113.0 - 145.0 | \n",
+ " 8.0 - 12.0 | \n",
" 70.0 - 71.0 | \n",
- " 3432.0 - 3883.0 | \n",
" usa | \n",
" ford torino | \n",
" 8 | \n",
" 20.35871 | \n",
" 17.0 | \n",
" 15.051515 | \n",
- " 16.185185 | \n",
+ " 17.129167 | \n",
" 16.793333 | \n",
" 18.769231 | \n",
+ " 16.185185 | \n",
" 19.057143 | \n",
- " 17.129167 | \n",
"
\n",
" \n",
"\n",
@@ -948,33 +948,33 @@
"3 70 usa amc rebel sst 4 train \n",
"4 70 usa ford torino 5 train \n",
"\n",
- " acceleration_bin displacement_bin horsepower_bin model_year_bin \\\n",
- "0 8.0 - 12.0 250.0 - 318.0 113.0 - 145.0 70.0 - 71.0 \n",
- "1 8.0 - 12.0 318.0 - 350.0 162.0 - 230.0 70.0 - 71.0 \n",
- "2 8.0 - 12.0 250.0 - 318.0 145.0 - 162.0 70.0 - 71.0 \n",
- "3 8.0 - 12.0 250.0 - 318.0 145.0 - 162.0 70.0 - 71.0 \n",
- "4 8.0 - 12.0 250.0 - 318.0 113.0 - 145.0 70.0 - 71.0 \n",
+ " weight_bin displacement_bin horsepower_bin acceleration_bin \\\n",
+ "0 3432.0 - 3883.0 250.0 - 318.0 113.0 - 145.0 8.0 - 12.0 \n",
+ "1 3432.0 - 3883.0 318.0 - 350.0 162.0 - 230.0 8.0 - 12.0 \n",
+ "2 3432.0 - 3883.0 250.0 - 318.0 145.0 - 162.0 8.0 - 12.0 \n",
+ "3 3432.0 - 3883.0 250.0 - 318.0 145.0 - 162.0 8.0 - 12.0 \n",
+ "4 3432.0 - 3883.0 250.0 - 318.0 113.0 - 145.0 8.0 - 12.0 \n",
"\n",
- " weight_bin origin_processed name_processed \\\n",
- "0 3432.0 - 3883.0 usa chevrolet chevelle malibu \n",
- "1 3432.0 - 3883.0 usa buick skylark 320 \n",
- "2 3432.0 - 3883.0 usa plymouth satellite \n",
- "3 3432.0 - 3883.0 usa amc rebel sst \n",
- "4 3432.0 - 3883.0 usa ford torino \n",
+ " model_year_bin origin_processed name_processed \\\n",
+ "0 70.0 - 71.0 usa chevrolet chevelle malibu \n",
+ "1 70.0 - 71.0 usa buick skylark 320 \n",
+ "2 70.0 - 71.0 usa plymouth satellite \n",
+ "3 70.0 - 71.0 usa amc rebel sst \n",
+ "4 70.0 - 71.0 usa ford torino \n",
"\n",
- " cylinders_processed origin_enc name_enc cylinders_enc acceleration_enc \\\n",
- "0 8 20.35871 17.0 15.051515 16.185185 \n",
- "1 8 20.35871 15.0 15.051515 16.185185 \n",
- "2 8 20.35871 18.0 15.051515 16.185185 \n",
- "3 8 20.35871 16.0 15.051515 16.185185 \n",
- "4 8 20.35871 17.0 15.051515 16.185185 \n",
+ " cylinders_processed origin_enc name_enc cylinders_enc weight_enc \\\n",
+ "0 8 20.35871 17.0 15.051515 17.129167 \n",
+ "1 8 20.35871 15.0 15.051515 17.129167 \n",
+ "2 8 20.35871 18.0 15.051515 17.129167 \n",
+ "3 8 20.35871 16.0 15.051515 17.129167 \n",
+ "4 8 20.35871 17.0 15.051515 17.129167 \n",
"\n",
- " displacement_enc horsepower_enc model_year_enc weight_enc \n",
- "0 16.793333 18.769231 19.057143 17.129167 \n",
- "1 15.035294 13.612500 19.057143 17.129167 \n",
- "2 16.793333 14.380952 19.057143 17.129167 \n",
- "3 16.793333 14.380952 19.057143 17.129167 \n",
- "4 16.793333 18.769231 19.057143 17.129167 "
+ " displacement_enc horsepower_enc acceleration_enc model_year_enc \n",
+ "0 16.793333 18.769231 16.185185 19.057143 \n",
+ "1 15.035294 13.612500 16.185185 19.057143 \n",
+ "2 16.793333 14.380952 16.185185 19.057143 \n",
+ "3 16.793333 14.380952 16.185185 19.057143 \n",
+ "4 16.793333 18.769231 16.185185 19.057143 "
]
},
"execution_count": 21,
@@ -1339,25 +1339,25 @@
"name": "stdout",
"output_type": "stream",
"text": [
- " origin name cylinders acceleration displacement \\\n",
- "origin 1.000000 0.562702 0.550413 0.292586 0.654441 \n",
- "name 0.562702 1.000000 0.798929 0.561621 0.835537 \n",
- "cylinders 0.550413 0.798929 1.000000 0.640407 0.895527 \n",
- "acceleration 0.292586 0.561621 0.640407 1.000000 0.586090 \n",
- "displacement 0.654441 0.835537 0.895527 0.586090 1.000000 \n",
- "horsepower 0.517409 0.832600 0.812487 0.695982 0.879012 \n",
- "model_year 0.169058 0.591282 0.344348 0.347110 0.334152 \n",
- "weight 0.592037 0.854352 0.876777 0.550888 0.941594 \n",
+ " origin name cylinders weight displacement \\\n",
+ "origin 1.000000 0.562702 0.550413 0.592037 0.654441 \n",
+ "name 0.562702 1.000000 0.798929 0.854352 0.835537 \n",
+ "cylinders 0.550413 0.798929 1.000000 0.876777 0.895527 \n",
+ "weight 0.592037 0.854352 0.876777 1.000000 0.941594 \n",
+ "displacement 0.654441 0.835537 0.895527 0.941594 1.000000 \n",
+ "horsepower 0.517409 0.832600 0.812487 0.878684 0.879012 \n",
+ "acceleration 0.292586 0.561621 0.640407 0.550888 0.586090 \n",
+ "model_year 0.169058 0.591282 0.344348 0.300008 0.334152 \n",
"\n",
- " horsepower model_year weight \n",
- "origin 0.517409 0.169058 0.592037 \n",
- "name 0.832600 0.591282 0.854352 \n",
- "cylinders 0.812487 0.344348 0.876777 \n",
- "acceleration 0.695982 0.347110 0.550888 \n",
- "displacement 0.879012 0.334152 0.941594 \n",
- "horsepower 1.000000 0.397575 0.878684 \n",
- "model_year 0.397575 1.000000 0.300008 \n",
- "weight 0.878684 0.300008 1.000000 \n"
+ " horsepower acceleration model_year \n",
+ "origin 0.517409 0.292586 0.169058 \n",
+ "name 0.832600 0.561621 0.591282 \n",
+ "cylinders 0.812487 0.640407 0.344348 \n",
+ "weight 0.878684 0.550888 0.300008 \n",
+ "displacement 0.879012 0.586090 0.334152 \n",
+ "horsepower 1.000000 0.695982 0.397575 \n",
+ "acceleration 0.695982 1.000000 0.347110 \n",
+ "model_year 0.397575 0.347110 1.000000 \n"
]
}
],
@@ -1376,7 +1376,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
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\n",
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