- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 31 - 40 of 91 for cms (0.04 sec)
-
Visualizing the stock market structure — scikit...
cm . nipy_spectral ) # Plot the...segments , zorder = 0 , cmap = plt . cm . hot_r , norm = plt . Normalize...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.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 -
SVM: Weighted samples — scikit-learn 1.4.2 docu...
cm . bone ) axis . scatter ( X [:,..., alpha = 0.9 , cmap = plt . cm . bone , edgecolors = "black"...scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.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 -
SVM with custom kernel — scikit-learn 1.4.2 doc...
cm . Paired , ax = ax , response_method...[:, 1 ], c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html -
Plot the decision surface of decision trees tra...
cm . RdYlBu , response_method =...target_names [ i ], cmap = plt . cm . RdYlBu , edgecolor = "black"...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.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 -
Non-linear SVM — scikit-learn 1.4.2 documentation
cm . PuOr_r , ) contours = plt ....s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = "k" )...scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html -
The Johnson-Lindenstrauss bound for embedding w...
cm . Blues ( np . linspace ( 0.3...( 2 , 6 , 5 ) colors = plt . cm . Blues ( np . linspace ( 0.3...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
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