- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 41 - 50 of 124 for cms (0.1 sec)
-
Plot classification probability — scikit-learn ...
as pd 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 -
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 1.7.0 ...
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 -
1.10. Decision Trees — scikit-learn 1.7.0 docum...
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/tree.html -
Label Propagation digits: Active learning — sci...
true_labels = y [ unlabeled_indices ] cm = confusion_matrix ( true_labels..."Confusion matrix" ) print ( cm ) # compute the entropies of...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
Compare the effect of different scalers on data...
5 cmap = getattr ( cm , "plasma_r" , cm . hot_r ) def create_axes...as np from matplotlib import cm from matplotlib import pyplot...scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html -
SVM: Maximum margin separating hyperplane — sci...
cm . Paired ) # plot the decision...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
Sparse inverse covariance estimation — scikit-l...
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 -
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 -
Nearest Neighbors Classification — scikit-learn...
[[ "sepal length (cm)" , "sepal width (cm)" ]] y = iris . target...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html