Files
FYS-STK4155/doc/Programs/JupyterFiles/Examples/Scikit-Learn Website Examples/KNNeighbors Example from Sci-Kit Learn Website.ipynb
T
2018-05-06 22:19:59 -04:00

123 lines
66 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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fJHWCwykllVJm3gbcVrPuqqrXp3c8KEnC/klS+3knTpIkSZJKxCROkiRJkkrE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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1a1bd9c080>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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wfCr68HOH08HIr0ay7ut1uLJctP1HWxotvzh4f4eTkSO/Yt26r3G5smjb9h80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\nqFDKPSKiQin3iIgKpdwjIir0D+yOFB8odQ8dAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1a18ee6a90>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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q/3YeD02BJcDYfv24+7LLmLZgAV194y7yjXteWlq55mMnXEcr9ujTgwXTFrDr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\nlOIeEVGhFPeIiAr9Db9mczOrfhf2AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1a1b22e358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib.colors import ListedColormap\n",
"from sklearn import neighbors, datasets\n",
"from sklearn.neighbors import KNeighborsRegressor\n",
"\n",
"n_neighbors = 15\n",
"\n",
"# import some data to play with\n",
"iris = datasets.load_iris()\n",
"\n",
"# we only take the first two features. We could avoid this ugly\n",
"# slicing by using a two-dim dataset\n",
"X = iris.data[:, :2]\n",
"y = iris.target\n",
"\n",
"h = .02 # step size in the mesh\n",
"\n",
"# Create color maps\n",
"cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])\n",
"cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])\n",
"\n",
"for weights in ['uniform', 'distance']:\n",
" # we create an instance of Neighbours Classifier and fit the data.\n",
" clf = neighbors.KNeighborsClassifier(n_neighbors, weights=weights)\n",
" clf.fit(X, y)\n",
"\n",
" # Plot the decision boundary. For that, we will assign a color to each\n",
" # point in the mesh [x_min, x_max]x[y_min, y_max].\n",
" x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
" y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
" xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
" np.arange(y_min, y_max, h))\n",
" Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
"\n",
" # Put the result into a color plot\n",
" Z = Z.reshape(xx.shape)\n",
" plt.figure()\n",
" plt.pcolormesh(xx, yy, Z, cmap=cmap_light)\n",
"\n",
" # Plot also the training points\n",
" plt.scatter(X[:, 0], X[:, 1], c=y, cmap=cmap_bold,\n",
" edgecolor='k', s=20)\n",
" plt.xlim(xx.min(), xx.max())\n",
" plt.ylim(yy.min(), yy.max())\n",
" plt.title(\"3-Class classification (k = %i, weights = '%s')\"\n",
" % (n_neighbors, weights))\n",
"\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
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