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estimator_html_repr — scikit-learn 1.7.2 docume...
estimator_html_repr ( LogisticRegression ()) '<style>#sk-container-id...' On this...sklearn.utils. estimator_html_repr ( estimator ) [source] # Build a...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html -
Release Highlights for scikit-learn 1.2 — sciki...
973554 2.0 1.0 33 -0.416010 2.630382 0.0 1.0 107 1.765012 -0.362176...width (cm) 114 -0.052506 -0.592373 3.0 4.0 62 0.189830 -1.973554...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html -
Binarizer — scikit-learn 1.7.2 documentation
], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , - 1. ]] >>> transformer...1.], [1., 0., 0.], [0., 1., 0.]]) fit ( X , y = None ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
Agglomerative clustering with and without struc...
seed ( 0 ) t = 1.5 * np . pi * ( 1 + 3 * np . random . rand ( 1 ,..."ward" , "single" )): plt . subplot ( 1 , 4 , index + 1 ) model =...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html -
A demo of the mean-shift clustering algorithm —...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , _ = make_blobs...[ "#dede00" , "#377eb8" , "#f781bf" ] markers = [ "x" , "o" ,...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Bisecting K-Means and Regular K-Means Performan...
axs [ j , i ] . scatter ( X [:, 0 ], X [:, 1 ], s = 10 , c = algo...centers [:, 1 ], c = "r" , s = 20 ) axs [ j , i ] . set_title ( f "...scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html -
ClassifierTags — scikit-learn 1.7.2 documentation
accuracy of 0.83 on make_blobs(n_samples=300, random_state=0) . The datasets...sklearn.utils. ClassifierTags ( poor_score : bool = False , multi_class...scikit-learn.org/stable/modules/generated/sklearn.utils.ClassifierTags.html -
Visualizing the stock market structure — scikit...
"Toyota" , "CAJ" : "Canon" , "SNE" : "Sony" , "F" : "Ford" , "HMC"...Grumman" , "BA" : "Boeing" , "KO" : "Coca Cola" , "MMM" : "3M" , "MCD"...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
Probabilistic predictions with Gaussian process...
Likelihood (optimized): -3.875 Accuracy: 1.000 (initial) 1.000 (optimized)..."Log-loss: %.3f (initial) %.3f (optimized)" % ( log_loss ( y [:...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc.html -
Demo of OPTICS clustering algorithm — scikit-le...
[ "g." , "r." , "b." , "y." , "c." ] for klass , color in enumerate...float ), "k-" , alpha = 0.5 ) ax1 . plot ( space , np . full_like...scikit-learn.org/stable/auto_examples/cluster/plot_optics.html