Pushing the docs to dev/ for branch: main, commit d417fa83e3e75d837df1fce58c0068d4bac883b1

Author: sklearn-ci

dev/.buildinfo

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 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 92b1b479f5bfa289d84cb5e3196fcd22
+config: 5666cdbb9feecb64a77744ef7bf93ba6
 tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/_downloads/023324c27491610e7c0ccff87c59abf9/plot_kernel_pca.py

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 ==========
 
 This example shows the difference between the Principal Components Analysis
-(:class:`~sklearn.decomposition.PCA`) and its kernalized version
+(:class:`~sklearn.decomposition.PCA`) and its kernelized version
 (:class:`~sklearn.decomposition.KernelPCA`).
 
 On the one hand, we show that :class:`~sklearn.decomposition.KernelPCA` is able

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

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       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Kernel PCA\n\nThis example shows the difference between the Principal Components Analysis\n(:class:`~sklearn.decomposition.PCA`) and its kernalized version\n(:class:`~sklearn.decomposition.KernelPCA`).\n\nOn the one hand, we show that :class:`~sklearn.decomposition.KernelPCA` is able\nto find a projection of the data which linearly separates them while it is not the case\nwith :class:`~sklearn.decomposition.PCA`.\n\nFinally, we show that inverting this projection is an approximation with\n:class:`~sklearn.decomposition.KernelPCA`, while it is exact with\n:class:`~sklearn.decomposition.PCA`.\n"
+        "\n# Kernel PCA\n\nThis example shows the difference between the Principal Components Analysis\n(:class:`~sklearn.decomposition.PCA`) and its kernelized version\n(:class:`~sklearn.decomposition.KernelPCA`).\n\nOn the one hand, we show that :class:`~sklearn.decomposition.KernelPCA` is able\nto find a projection of the data which linearly separates them while it is not the case\nwith :class:`~sklearn.decomposition.PCA`.\n\nFinally, we show that inverting this projection is an approximation with\n:class:`~sklearn.decomposition.KernelPCA`, while it is exact with\n:class:`~sklearn.decomposition.PCA`.\n"
       ]
     },
     {