- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 11 - 20 of 113 for cms (0.04 sec)
-
Feature agglomeration vs. univariate selection ...
cm . RdBu_r ) plt . title ( "True...interpolation = "nearest" , cmap = plt . cm . RdBu_r ) plt . title ( "Feature...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
Vector Quantization Example — scikit-learn 1.5....
cm . gray ) ax [ 0 ] . axis ( "off"...compressed_raccoon_uniform , cmap = plt . cm . gray ) ax [ 0 ] . axis ( "off"...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
7.1. Toy datasets — scikit-learn 1.5.0 document...
length in cm sepal width in cm petal length in cm petal width...width in cm class: Iris-Setosa Iris-Versicolour Iris-Virginica Summary...scikit-learn.org/stable/datasets/toy_dataset.html -
Segmenting the picture of greek coins in region...
cm . gray ) plt . xticks (()) plt...n_regions ): colors = [ plt . cm . nipy_spectral (( l + 4 ) /...scikit-learn.org/stable/auto_examples/cluster/plot_coin_segmentation.html -
Manifold Learning methods on a severed sphere —...
cm . rainbow ) ax . view_init (...], c = colors , cmap = plt . cm . rainbow ) plt . title ( " %s...scikit-learn.org/stable/auto_examples/manifold/plot_manifold_sphere.html -
export_text — scikit-learn 1.5.0 documentation
width (cm) <= 0.80 | |--- class: 0 |--- petal width (cm) > 0.80...width (cm) <= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
Plot different SVM classifiers in the iris data...
cm . coolwarm , alpha = 0.8 , ax...X0 , X1 , c = y , cmap = plt . cm . coolwarm , s = 20 , edgecolors...scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html -
Two-class AdaBoost — scikit-learn 1.5.0 documen...
cm . Paired , response_method =...idx , 1 ], c = c , cmap = plt . cm . Paired , s = 20 , edgecolor...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html -
Recognizing hand-written digits — scikit-learn ...
range ( len ( cm )): for pred in range ( len ( cm )): y_true +=...[ gt ] * cm [ gt ][ pred ] y_pred += [ pred ] * cm [ gt ][ pred...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
plot_classifier_comparison.ipynb
the dataset first\n cm = plt.cm.RdBu\n cm_bright = ListedColormap([\"#FF0000\",...X_train[:, 1], c=y_train, cmap=cm_bright, edgecolors=\"k\")\n #...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb