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Pushing the docs to dev/ for branch: main, commit c22fc632fe365d0212acd188b99b45c79e3a5902
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‎dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

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‎dev/_downloads/6f1e7a639e0699d6164445b55e6c116d/auto_examples_jupyter.zip

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‎dev/_downloads/b49810e68af99a01e25ba2dfc951b687/plot_train_error_vs_test_error.ipynb

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},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n\nplt.subplot(2, 1, 1)\nplt.semilogx(alphas, train_errors, label=\"Train\")\nplt.semilogx(alphas, test_errors, label=\"Test\")\nplt.vlines(\n alpha_optim,\n plt.ylim()[0],\n np.max(test_errors),\n color=\"k\",\n linewidth=3,\n label=\"Optimum on test\",\n)\nplt.legend(loc=\"lower left\")\nplt.ylim([0, 1.2])\nplt.xlabel(\"Regularization parameter\")\nplt.ylabel(\"Performance\")\n\n# Show estimated coef_ vs true coef\nplt.subplot(2, 1, 2)\nplt.plot(coef, label=\"True coef\")\nplt.plot(coef_, label=\"Estimated coef\")\nplt.legend()\nplt.subplots_adjust(0.09, 0.04, 0.94, 0.94, 0.26, 0.26)\nplt.show()"
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"import matplotlib.pyplot as plt\n\nplt.subplot(2, 1, 1)\nplt.semilogx(alphas, train_errors, label=\"Train\")\nplt.semilogx(alphas, test_errors, label=\"Test\")\nplt.vlines(\n alpha_optim,\n plt.ylim()[0],\n np.max(test_errors),\n color=\"k\",\n linewidth=3,\n label=\"Optimum on test\",\n)\nplt.legend(loc=\"lower right\")\nplt.ylim([0, 1.2])\nplt.xlabel(\"Regularization parameter\")\nplt.ylabel(\"Performance\")\n\n# Show estimated coef_ vs true coef\nplt.subplot(2, 1, 2)\nplt.plot(coef, label=\"True coef\")\nplt.plot(coef_, label=\"Estimated coef\")\nplt.legend()\nplt.subplots_adjust(0.09, 0.04, 0.94, 0.94, 0.26, 0.26)\nplt.show()"
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‎dev/_downloads/dcb776e3eb7cce048909ddcd70100917/plot_train_error_vs_test_error.py

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linewidth=3,
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label="Optimum on test",
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plt.legend(loc="lower left")
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plt.legend(loc="lower right")
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plt.ylim([0, 1.2])
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plt.xlabel("Regularization parameter")
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plt.ylabel("Performance")

‎dev/_downloads/scikit-learn-docs.zip

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‎dev/_images/sklearn-inspection-PartialDependenceDisplay-1.png

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‎dev/_images/sphx_glr_plot_adaboost_multiclass_001.png

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‎dev/_images/sphx_glr_plot_adaboost_multiclass_thumb.png

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‎dev/_images/sphx_glr_plot_agglomerative_clustering_001.png

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‎dev/_images/sphx_glr_plot_agglomerative_clustering_003.png

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