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chore: debug decision tree classifier notebook
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@RomanBredehoft
RomanBredehoft committed Apr 24, 2024
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58 changes: 33 additions & 25 deletions docs/advanced_examples/DecisionTreeRegressor.ipynb
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"name": "stdout",
"output_type": "stream",
"text": [
"Using ConcreteML version 1.5.0-rc0\n",
"With Python version 3.8.18 (default, Aug 28 2023, 08:26:46) \n",
"[GCC 9.4.0]\n"
"Using ConcreteML version 1.5.0\n",
"With Python version 3.10.11 (v3.10.11:7d4cc5aa85, Apr 4 2023, 19:05:19) [Clang 13.0.0 (clang-1300.0.29.30)]\n"
]
}
],
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"outputs": [
{
"data": {
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",
"image/png": 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+fXpMmDAhOjs7h2zv7Owc0Q+nrl27Nrq6ugYfBw4cGLFzAwDnloJiZNKkSTFv3rxobW0d3Nbf3x+tra2xcOHCERuqpKQkysrKhjwAgLGp4G/TNDY2xooVK6KmpiYWLFgQGzZsiJ6ensFv1yxfvjxmzZoVzc3NEfHRh17/+te/Dv73u+++G3v37o3JkyfHlVdeOYJPBQAYjQqOkaVLl8bhw4dj3bp10dHREdXV1bFjx47BD7Xu378/ios/XnA5ePBgfPGLXxz8+aGHHoqHHnoobrzxxti5c+enfwYAwKhWcIxERKxatSpWrVp1wn/778CoqqqKgYGB07kMADAOnJPfpgEAxg8xAgCkEiMAQKrT+szIWJL1dx4AgI9YGQEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUk3MHgCAc1/Vmu0p193XUp9yXc4uKyMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQKqJ2QMAwHCq1mxPue6+lvqU645XVkYAgFRiBABIJUYAgFRiBABIJUYAgFS+TQMA/yXrWzzjlZURACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUokRACCVGAEAUp1WjGzatCmqqqqitLQ0amtrY9euXSfd/9e//nXMnj07SktL4wtf+EI899xzpzUsADD2FBwj27Zti8bGxmhqaoo9e/bE3LlzY9GiRXHo0KET7v+nP/0pli1bFnfccUf8+c9/jiVLlsSSJUvi9ddf/9TDAwCjX9HAwMBAIQfU1tbG/PnzY+PGjRER0d/fH5WVlbF69epYs2bNcfsvXbo0enp64tlnnx3c9qUvfSmqq6vj0UcfPaVrdnd3R3l5eXR1dUVZWVkh436iqjXbR/R8ADDa7GupPyPnPdXf3xMLOemxY8eivb091q5dO7ituLg46urqoq2t7YTHtLW1RWNj45BtixYtimeeeWbY6/T29kZvb+/gz11dXRHx0ZMaaf29H4z4OQFgNDkTv1///3k/ad2joBg5cuRI9PX1RUVFxZDtFRUV8eabb57wmI6OjhPu39HRMex1mpubY/369cdtr6ysLGRcAOAUlG84s+c/evRolJeXD/vvBcXI2bJ27dohqyn9/f3x73//Oy688MIoKipKnGz86O7ujsrKyjhw4MCIvzXGyXnt83jt83jt85zJ135gYCCOHj0aM2fOPOl+BcXI9OnTY8KECdHZ2Tlke2dnZ8yYMeOEx8yYMaOg/SMiSkpKoqSkZMi2qVOnFjIqI6SsrMz/GJJ47fN47fN47fOcqdf+ZCsi/6egb9NMmjQp5s2bF62trYPb+vv7o7W1NRYuXHjCYxYuXDhk/4iIF154Ydj9AYDxpeC3aRobG2PFihVRU1MTCxYsiA0bNkRPT080NDRERMTy5ctj1qxZ0dzcHBERd911V9x4443xk5/8JOrr62Pr1q3x6quvxs9+9rORfSYAwKhUcIwsXbo0Dh8+HOvWrYuOjo6orq6OHTt2DH5Idf/+/VFc/PGCy5e//OXYsmVL3HffffG9730vPve5z8UzzzwT11577cg9C0ZcSUlJNDU1Hfd2GWee1z6P1z6P1z7PufDaF3yfEQCAkeRv0wAAqcQIAJBKjAAAqcQIAJBKjHCcl156KRYvXhwzZ86MoqKik/4dIUZOc3NzzJ8/P6ZMmRIXX3xxLFmyJN56663sscaFzZs3x5w5cwZv+rRw4cL4/e9/nz3WuNTS0hJFRUVx9913Z48y5t1///1RVFQ05DF79uyUWcQIx+np6Ym5c+fGpk2bskcZV1588cVYuXJlvPLKK/HCCy/Ehx9+GLfcckv09PRkjzbmXXLJJdHS0hLt7e3x6quvxte//vX45je/GW+88Ub2aOPK7t2747HHHos5c+ZkjzJuXHPNNfHee+8NPl5++eWUOc7Jv01DrltvvTVuvfXW7DHGnR07dgz5+cknn4yLL7442tvb44YbbkiaanxYvHjxkJ8ffPDB2Lx5c7zyyitxzTXXJE01vrz//vtx2223xeOPPx4//OEPs8cZNyZOnHjSP89ytlgZgXNUV1dXRERMmzYteZLxpa+vL7Zu3Ro9PT3+bMVZtHLlyqivr4+6urrsUcaVv//97zFz5sy4/PLL47bbbov9+/enzGFlBM5B/f39cffdd8dXvvIVdys+S1577bVYuHBh/Oc//4nJkyfH008/HVdffXX2WOPC1q1bY8+ePbF79+7sUcaV2traePLJJ+Oqq66K9957L9avXx/XX399vP766zFlypSzOosYgXPQypUr4/XXX097/3Y8uuqqq2Lv3r3R1dUVv/nNb2LFihXx4osvCpIz7MCBA3HXXXfFCy+8EKWlpdnjjCv//+34OXPmRG1tbVx22WXxq1/9Ku64446zOosYgXPMqlWr4tlnn42XXnopLrnkkuxxxo1JkybFlVdeGRER8+bNi927d8cjjzwSjz32WPJkY1t7e3scOnQorrvuusFtfX198dJLL8XGjRujt7c3JkyYkDjh+DF16tT4/Oc/H//4xz/O+rXFCJwjBgYGYvXq1fH000/Hzp0747Of/Wz2SONaf39/9Pb2Zo8x5n3jG9+I1157bci2hoaGmD17dtx7771C5Cx6//334+23347bb7/9rF9bjHCc999/f0gZ//Of/4y9e/fGtGnT4tJLL02cbGxbuXJlbNmyJX73u9/FlClToqOjIyIiysvL47zzzkuebmxbu3Zt3HrrrXHppZfG0aNHY8uWLbFz5854/vnns0cb86ZMmXLc56LOP//8uPDCC31e6gy75557YvHixXHZZZfFwYMHo6mpKSZMmBDLli0767OIEY7z6quvxte+9rXBnxsbGyMiYsWKFfHkk08mTTX2bd68OSIibrrppiHbf/GLX8R3vvOdsz/QOHLo0KFYvnx5vPfee1FeXh5z5syJ559/Pm6++ebs0eCMeeedd2LZsmXxr3/9Ky666KL46le/Gq+88kpcdNFFZ32WooGBgYGzflUAgP/lPiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCkEiMAQCoxAgCk+h8Gio//WptaJgAAAABJRU5ErkJggg==",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
Expand Down Expand Up @@ -244,15 +243,7 @@
"execution_count": 6,
"id": "8069097d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Training on 5100 samples in 21.4577 seconds\n"
]
}
],
"outputs": [],
"source": [
"default_model = ConcreteDecisionTreeRegressor(criterion=\"absolute_error\", n_bits=6, random_state=42)\n",
"\n",
Expand All @@ -263,7 +254,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"id": "e286d33c",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -297,7 +288,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "3b076c44",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -358,7 +349,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"id": "1e64ee0b-76af-4e6a-a1d7-31048115a6e7",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -405,7 +396,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": null,
"id": "20431f4b",
"metadata": {},
"outputs": [],
Expand All @@ -423,7 +414,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": null,
"id": "07e5cffc",
"metadata": {},
"outputs": [],
Expand All @@ -433,7 +424,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": null,
"id": "177e073d",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -504,7 +495,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": null,
"id": "6ca2fd2c",
"metadata": {},
"outputs": [
Expand All @@ -526,7 +517,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": null,
"id": "132936f9",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -560,7 +551,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": null,
"id": "cb045438",
"metadata": {},
"outputs": [],
Expand All @@ -572,7 +563,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": null,
"id": "904f585b",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -604,7 +595,7 @@
},
{
"cell_type": "code",
"execution_count": 17,
"execution_count": null,
"id": "07fe03ba",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -644,7 +635,7 @@
},
{
"cell_type": "code",
"execution_count": 18,
"execution_count": null,
"id": "15008ad0-05d0-4ec2-91ea-c4be2efbc05b",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -792,6 +783,23 @@
"metadata": {
"execution": {
"timeout": 10800
},
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.11"
}
},
"nbformat": 4,
Expand Down

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