adding notes

2024-01-07 17:01:32 +01:00
parent da267cf3c4
commit 69cf4fa816
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Documents for the Linear, Ridge and Lasso regressions in the sklearn package:\n",
+    "\n",
+    "Linear: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html\n",
+    "\n",
+    "Ridge: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html\n",
+    "\n",
+    "Lasso: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.15631421 2.24887843]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn import linear_model\n",
+    "import numpy as np\n",
+    "\n",
+    "# Form the coefficient matrix of the linear system\n",
+    "X_transpose = np.array([[1, 1], [1, 2], [2, 2], [2, 3]])\n",
+    "\n",
+    "\n",
+    "# The underlying linear function is y = 1 * x_1 + 2 * x_2 + epsilon\n",
+    "epsilon = np.random.rand(4,)\n",
+    "y = np.dot(X_transpose, np.array([1, 2])) + epsilon\n",
+    "\n",
+    "\n",
+    "# Various regression models\n",
+    "#clf = linear_model.LinearRegression()\n",
+    "#clf = linear_model.Ridge(alpha=0.1)\n",
+    "clf = linear_model.Lasso(alpha=0.1)\n",
+    "\n",
+    "# Fit the model to the data\n",
+    "clf.fit(X_transpose, y)\n",
+    "\n",
+    "\n",
+    "# Print the regression coefficients\n",
+    "print(clf.coef_)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}