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Support Vector Regression (SVR) using linear an...
# svr_rbf = SVR ( kernel = "rbf" , C = 100 , gamma = 0.1 , epsilon...epsilon = 0.1 ) svr_lin = SVR ( kernel = "linear" , C = 100 , gamma...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html -
alter-step1-prepare.png
17639795 width=2289, height=422, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...dbflute.seasar.org/data/snapshot/intro/alter/alter-step1-prepare.png -
intro-hacomment-conflict-view-snapshot.png
17639795 width=1110, height=442, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...dbflute.seasar.org/data/snapshot/intro/hacomment/intro-hacomment-conflict-view-snapshot.png -
ensemble.rst.txt
calculated as follows: ========== ========== ========== ==========..... _ensemble: ========== Ensembles: Gradient boosting, random...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
Unsupervised learning: seeking representations ...
>>> _ = ax . set ( xlabel = "x" , ylabel = "y" , zlabel = "z" )...mode = 'reflect' , anti_aliasing = False ... ) >>> X = np . reshape...scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html -
SGD: Weighted samples — scikit-learn 1.5.0 docu...
c = y , s = sample_weight , alpha = 0.9 , cmap = plt . cm...alpha = 0.01 , max_iter = 100 ) clf . fit ( X , y ) Z = clf ....scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
Multi-output Decision Tree Regression — scikit-...
c = "red" , s = s , edgecolor = "black" , label = "max_depth=5"..."orange" , s = s , edgecolor = "black" , label = "max_depth=8" ) plt...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html -
K-means Clustering — scikit-learn 1.5.0 documen...
n_clusters = 3 , n_init = 1 , init = "random" )), ] fig = plt . figure...text3D ( X [ y == label , 3 ] . mean (), X [ y == label , 0 ] ....scikit-learn.org/stable/auto_examples/cluster/plot_cluster_iris.html -
SVM Tie Breaking Example — scikit-learn 1.5.0 d...
()): svm = SVC ( kernel = "linear" , C = 1 , break_ties = break_ties...SVC X , y = make_blobs ( random_state = 27 ) fig , sub = plt . subplots...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
beta_divergence.png
encoding=ISO-8859-1, compression=none keyword=Software, value=Matplotlib...0.2540005 width=640, height=480, bitDepth=8, colorType=RGB, compr...scikit-learn.org/stable/_images/beta_divergence.png
