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実は母も有名人と知って意外に思う芸能人ランキング!2位は杉咲花と黒柳徹子、1位は…|相武紗季,...
降はドラマや映画に加えてCMにも多数出演しており、2007年には13社のCMに起用されて“CM女王”と称されました。 2...子役としての活動を経て『桜蘭高校ホスト部』(TBS系)などのドラマに出演を重ね、CMやドラマ『夜行観覧車』(TBS系)での演技で注目された「杉...ranking.goo.ne.jp/column/9510/ -
Plot classification probability — scikit-learn ...
as np from matplotlib import cm from sklearn import datasets..."Probability" ) _ = plt . colorbar ( cm . ScalarMappable ( norm = None...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
S2ClassBuilder | DBFlute
cms.classbuilder.impl.RedefinableXmlS2Cont"...<component class="org.seasar.cms.classbuilder.impl.RedefinableResourceR"...dbflute.seasar.org/ja/manual/topic/friends/seas... -
Recursive feature elimination — scikit-learn 1....
cm . Blues ) plt . colorbar () plt...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
A demo of structured Ward hierarchical clusteri...
cm . gray ) for l in range ( n_clusters...label == l , colors = [ plt . cm . nipy_spectral ( l / float (...scikit-learn.org/stable/auto_examples/cluster/plot_coin_ward_segmentation.html -
Kernel Density Estimation — scikit-learn 1.4.2 ...
cm . binary , interpolation = "nearest"...reshape (( 8 , 8 )), cmap = plt . cm . binary , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
Plot multi-class SGD on the iris dataset — scik...
cm . Paired , ax = ax , response_method...target_names [ i ], cmap = plt . cm . Paired , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
SVM Exercise — scikit-learn 1.4.2 documentation
cm . Paired , edgecolor = "k" ,...XX , YY , Z > 0 , cmap = plt . cm . Paired ) plt . contour ( XX...scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.html -
plot_pca_iris.py
cm.nipy_spectral, edgecolor="k")...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
auto_examples_python.zip
plot the dataset first cm = plt.cm.RdBu cm_bright = ListedColormap(["#FF0000",...range(len(cm)): for pred in range(len(cm)): y_true += [gt] * cm[gt][pred]...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip