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Demonstration of multi-metric evaluation on cro...
datasets import make_hastie_10_2 from sklearn.metrics import accuracy_score...metrics # X , y = make_hastie_10_2 ( n_samples = 8000 , random_state...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
load_sample_images — scikit-learn 1.7.2 documen...
images ) 2 >>> first_img_data = dataset ....scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html -
Version 0.17 — scikit-learn 1.7.2 documentation
different filenames under Python 2 and Python 3 to avoid pickling...scikit-learn.org/stable/whats_new/v0.17.html -
Glossary of Common Terms and API Elements — sci...
2], 2 is the positive class; of [‘no’,...array whose .shape has length 2. Often represents a matrix. API...scikit-learn.org/stable/glossary.html -
Faces recognition example using eigenfaces and ...
for machine learning we use the 2 data directly (as relative pixel...figure ( figsize = ( 1.8 * n_col , 2.4 * n_row )) plt . subplots_adjust...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Plot Ridge coefficients as a function of the re...
- 2 , n_alphas ) coefs = [] for a...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html -
Bisecting K-Means and Regular K-Means Performan...
centers = 2 , random_state = random_state...scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html -
Kernel Density Estimation — scikit-learn 1.7.2 ...
This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html -
sklearn.preprocessing — scikit-learn 1.7.2 docu...
Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.scikit-learn.org/stable/api/sklearn.preprocessing.html -
load_digits — scikit-learn 1.7.2 documentation
Gallery examples: Recognizing hand-written digits Feature agglomeration Various Agglomerative Clustering on a 2D embedding of digits A demo of K-Means clustering on the handwritten digits data Sele...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html