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Blind source separation using FastICA — scikit-...
array ([[ 1 , 1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]])...models , names ), 1 ): plt . subplot ( 4 , 1 , ii ) plt . title...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
Plot randomly generated multilabel dataset — sc...
1 ], color = COLORS . take (( Y * [ 1 , 2 , 4 ]) ...., n_labels = 1 ) ax1 . set_title ( "n_labels=1, length=50" )...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
load_digits — scikit-learn 1.8.0 documentation
scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Label Propagation...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html -
Poisson regression and non-normal loss — scikit...
Region 0 1.0 1 0.10000 D 5 0 55 50 B12 'Regular' 1217 R82 1 3.0 1...1 0.77000 D 5 0 55 50 B12 'Regular' 1217 R82 2 5.0 1 0.75000...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
A demo of the mean-shift clustering algorithm —...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , _ = make_blobs...matplotlib.pyplot as plt plt . figure ( 1 ) plt . clf () colors = [ "#dede00"...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
Online learning of a dictionary of parts of fac...
- 1 )) buffer . append ( data ) index += 1 if index %...[MiniBatchKMeans] Reassigning 1 cluster centers. Partial fit of...scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html -
Curve Fitting with Bayesian Ridge Regression — ...
values (alpha_init = 1.90, lambda_init = 1.), the bias of the resulting...scale = 0.1 , size = size ) x_test = np . linspace ( 0.0 , 1.0 , 100...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
Effect of transforming the targets in regressio...
subplots ( 1 , 2 ) ax0 . hist ( y , bins =...suptitle ( "Synthetic data" , y = 1.05 ) plt . tight_layout () X_train...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html -
Comparing different clustering algorithms on to...
cluster_std = [ 1.0 , 2.5 , 0.5 ], random_state..., hspace = 0.01 ) plot_num = 1 default_base = { "quantile" :...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html -
Comparison of the K-Means and MiniBatchKMeans c...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] n_clusters...ax = fig . add_subplot ( 1 , 3 , 1 ) for k , col in zip ( range...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html