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udlbook
2025-01-28 10:50:31 -05:00
parent f1c07f53bf
commit 4e564088a1
1 changed files with 26 additions and 26 deletions
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52
Trees/LinearRegression_LossFunction.ipynb
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@@ -4,7 +4,7 @@
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyMDnVKMFeK2nRxX862l3xmp",
"authorship_tag": "ABX9TyPss+SDCn3GEVlRYmKVEPWE",
"include_colab_link": true
},
"kernelspec": {
@@ -83,31 +83,6 @@
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Function to help plot the data\n",
"def plot(x, y, f, phi0=None, phi1=None):\n",
" fig,ax = plt.subplots()\n",
" ax.scatter(x,y)\n",
" plt.xlim([0,2.0])\n",
" plt.ylim([0,2.0])\n",
" ax.set_xlabel('Input, $x$')\n",
" ax.set_ylabel('Output, $y$')\n",
" ax.set_aspect('equal')\n",
" # Draw line if parameters passed\n",
" x_line = np.arange(0,2,0.01)\n",
" if(phi0 is not None and phi1 is not None):\n",
" y_line = f(x_line, phi0, phi1)\n",
" plt.plot(x_line, y_line,'r-',lw=2)\n",
" plt.show()"
],
"metadata": {
"id": "785wp16FYjt5"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
@@ -140,6 +115,31 @@
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Function to help plot the data\n",
"def plot(x, y, f, phi0=None, phi1=None):\n",
" fig,ax = plt.subplots()\n",
" ax.scatter(x,y)\n",
" plt.xlim([0,2.0])\n",
" plt.ylim([0,2.0])\n",
" ax.set_xlabel('Input, $x$')\n",
" ax.set_ylabel('Output, $y$')\n",
" ax.set_aspect('equal')\n",
" # Draw line if parameters passed\n",
" x_line = np.arange(0,2,0.01)\n",
" if(phi0 is not None and phi1 is not None):\n",
" y_line = f(x_line, phi0, phi1)\n",
" plt.plot(x_line, y_line,'r-',lw=2)\n",
" plt.show()"
],
"metadata": {
"id": "785wp16FYjt5"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [