diff --git a/Trees/LinearRegression_LossFunction.ipynb b/Trees/LinearRegression_LossFunction.ipynb index a4596d1..b269171 100644 --- a/Trees/LinearRegression_LossFunction.ipynb +++ b/Trees/LinearRegression_LossFunction.ipynb @@ -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": [