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mlessentials/Lab08/Examples/setting_hyperparameters.ipynb
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2021-02-05 16:09:28 +05:00

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{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"setting_hyperparameters.ipynb","provenance":[],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"ddnAIuG-JCEj","colab_type":"code","colab":{}},"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())"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"XjJF6G_iJgqu","colab_type":"code","colab":{}},"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())"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"0aOROMLXJ1dP","colab_type":"code","colab":{}},"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())"],"execution_count":0,"outputs":[]}]}