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Sparse inverse covariance estimation — sc...
cm . RdBu_r ) plt . xticks (())..., vmax = vmax , cmap = plt . cm . RdBu_r , ) plt . xticks (())...scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html -
Visualizing cross-validation behavior in scikit...
cm . Paired cmap_cv = plt . cm . coolwarm n_splits...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html -
Iso-probability lines for Gaussian Processes cl...
as np from matplotlib import cm from matplotlib import pyplot...plt . imshow ( y_prob , cmap = cm . gray_r , alpha = 0.8 , extent...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
2011-01-01から1ヶ月間の記事一覧 - はてなニュース
ドナルド「ハッピーセット『スポンジ・ボブ』」のCM。TwitterではCMを真似して「ｼｬﾍﾞｯﾀｱｱｱｱｱｱｱｱｱｱｱ...ポンジ・ボブ」のCMで、おもちゃで大はしゃぎする子どもたちのテンションの高さが話題になっています。CMを見た人からは、「...hatenanews.com/archive/2011/01 -
Illustration of Gaussian process classification...
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = ( 0 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
SVM: Weighted samples — scikit-learn 1.8....
cm . bone , edgecolors = "black"...0.75 , ax = axis , cmap = plt . cm . bone , ) axis . axis ( "off"...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html -
Explicit feature map approximation for RBF kern...
cm . tab10 , vmin = 0 , vmax = 10...targets_train , cmap = plt . cm . tab10 , edgecolors = ( 0 ,...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Face completion with a multi-output estimators ...
cm . gray , interpolation = "nearest"...( image_shape ), cmap = plt . cm . gray , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Nearest Neighbors Classification — scikit...
"sepal length (cm)" , "sepal width (cm)" ]] y =...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
auto_examples_python.zip
range(len(cm)): for pred in range(len(cm)): y_true += [gt] * cm[gt][pred]...import cm plt.figure() y_unique = np.unique(y) colors = cm.rain...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip