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84 lines
1.7 KiB
Plaintext
84 lines
1.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "ddnAIuG-JCEj"
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},
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"outputs": [],
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"source": [
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"from sklearn import neighbors\n",
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"\n",
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"# initialize with default hyperparameters\n",
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"knn = neighbors.KNeighborsClassifier()\n",
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"\n",
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"# examine the defaults\n",
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"print(knn.get_params())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "XjJF6G_iJgqu"
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},
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"outputs": [],
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"source": [
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"# initialize with k = 15 and all other hyperparameters as default \n",
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"knn = neighbors.KNeighborsClassifier(n_neighbors=15)\n",
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"\n",
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"# examine\n",
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"print(knn.get_params())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "0aOROMLXJ1dP"
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},
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"outputs": [],
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"source": [
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"# initialize with k = 15, weights = distance and all other hyperparameters as default \n",
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"knn = neighbors.KNeighborsClassifier(n_neighbors=15, weights='distance')\n",
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"\n",
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"# examine\n",
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"print(knn.get_params())"
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]
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}
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],
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"metadata": {
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"colab": {
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"collapsed_sections": [],
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"name": "setting_hyperparameters.ipynb",
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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