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Underfitting vs. Overfitting — scikit-learn 1.7...
plt . ylabel ( "y" ) plt . xlim (( 0 , 1 )) plt . ylim (( - 2 ,...X ) + np . random . randn ( n_samples ) * 0.1 plt . figure ( figsize...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html -
Approximate nearest neighbors in TSNE — scikit-...
= { "euclidean" : "l2" , "cosine" : "cosinesimil" , "l1" : "l1"..."MNIST_10000" , load_mnist ( n_samples = 10_000 )), ( "MNIST_20000" , load_mnist...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Nearest Neighbors regression — scikit-learn 1.7...
"prediction" ) plt . axis ( "tight" ) plt . legend () plt . title ( "KNeighborsRegressor...rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace ( 0 , 5...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
MultiTaskLassoCV — scikit-learn 1.7.1 documenta...
MultiTaskLasso is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ Fro_2 + alpha...random_state = 0 ) . fit ( X , y ) >>> r2_score ( y , reg . predict ( X ))...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
sklearn.feature_extraction — scikit-learn 1.7.1...
of patches. image.grid_to_graph Graph of the pixel-to-pixel connections....connections. image.img_to_graph Graph of the pixel-to-pixel gradient...scikit-learn.org/stable/api/sklearn.feature_extraction.html -
LarsCV — scikit-learn 1.7.1 documentation
LarsCV ( cv = 5 ) . fit ( X , y ) >>> reg . score ( X , y ) 0.9996...,]) array([154.3996]) fit ( X , y , ** params ) [source] # Fit...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
Release Highlights for scikit-learn 0.22 — scik...
random_state = 42 )), ( "svr" , make_pipeline ( StandardScaler (), LinearSVC...`labels=...` # (matplotlib < 3.9) or `tick_labels=...` (matplotlib...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html -
Plot classification probability — scikit-learn ...
GaussianProcessClass ( kernel = 1.0 * RBF ([ 1.0 , 1.0 ])), "Logistic regression...scatter_kwargs = { "s" : 25 , "marker" : "o" , "linewidths" : 0.8 , "edgecolor"...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
Faces recognition example using eigenfaces and ...
y_train ) print ( "done in %0.3f s" % ( time () - t0 )) print ( "Best...X_train ) print ( "done in %0.3f s" % ( time () - t0 )) eigenfaces...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Kernel PCA — scikit-learn 1.7.1 documentation
set_ylabel ( "Feature #1" ) train_ax . set_xlabel ( "Feature #0" ) train_ax..."Feature #1" ) orig_data_ax . set_xlabel ( "Feature #0" ) orig_data_ax...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html