{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "ddnAIuG-JCEj" }, "outputs": [], "source": [ "from sklearn import neighbors\n", "\n", "# initialize with default hyperparameters\n", "knn = neighbors.KNeighborsClassifier()\n", "\n", "# examine the defaults\n", "print(knn.get_params())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "XjJF6G_iJgqu" }, "outputs": [], "source": [ "# initialize with k = 15 and all other hyperparameters as default \n", "knn = neighbors.KNeighborsClassifier(n_neighbors=15)\n", "\n", "# examine\n", "print(knn.get_params())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": {}, "colab_type": "code", "id": "0aOROMLXJ1dP" }, "outputs": [], "source": [ "# initialize with k = 15, weights = distance and all other hyperparameters as default \n", "knn = neighbors.KNeighborsClassifier(n_neighbors=15, weights='distance')\n", "\n", "# examine\n", "print(knn.get_params())" ] } ], "metadata": { "colab": { "collapsed_sections": [], "name": "setting_hyperparameters.ipynb", "provenance": [] }, "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": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 1 }