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SelectFpr — scikit-learn 1.7.1 documentation
generated: ["x0", "x1", ..., "x(n_features_in_ - 1)"] . If input_features...SelectFpr ( chi2 , alpha = 0.01 ) . fit_transform ( X , y ) >>> X_new...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
sparse_encode — scikit-learn 1.7.1 documentation
[ 1 , 1 , 1 ], ... [ 0 , 1 , 1 ], ... [ 0 , 2 , 1 ]], ... dtype...np . array ( ... [[ 0 , 1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [...scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html -
make_low_rank_matrix — scikit-learn 1.7.1 docum...
= 5 , ... tail_strength = 0.01 , ... random_state = 0 , ... )...profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
min_pos — scikit-learn 1.7.1 documentation
2 , 3 , - 4 , 5 ]) >>> min_pos ( X ) 2.0 On this page This Page...sklearn.utils.arrayfuncs import min_pos >>> X = np . array ([ 0 , - 1 , 2...scikit-learn.org/stable/modules/generated/sklearn.utils.arrayfuncs.min_pos.html -
FeatureHasher and DictVectorizer Comparison — s...
example, isn't it?" )) ['this', 'is', 'a', 'simple', 'example', 'isn',...{'that': 1, 'is': 2, 'one': 2, 'example': 1, 'but': 1, 'this':...scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html -
Plot classification boundaries with different S...
0.4 ], [ - 0.5 , 1.2 ], [ - 1.5 , 2.1 ], [ 1.0 , 1.0 ], [ 1.3...array ([ 0 , 0 , 0 , 0 , 0 , 0 , 0 , 0 , 1 , 1 , 1 , 1 , 1 , 1 ,...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html -
Selecting dimensionality reduction with Pipelin...
', MinMaxScaler()), ('reduce_dim', 'passthrough'), ('classify',...{'classify__C': [1, 10, ...], 'reduce_dim': [SelectKBest(s...7f48a4c1dfc0>)],...scikit-learn.org/stable/auto_examples/compose/plot_compare_reduction.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 -
RBF SVM parameters — scikit-learn 1.7.1 documen...
parameters are {'C': np.float64(1.0), 'gamma': np.float64(0.1)} with a...self . midpoint , self . vmax ], [ 0 , 0.5 , 1 ] return np . ma...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
t-SNE: The effect of various perplexity values ...
scatter ( X [ red , 0 ], X [ red , 1 ], c = "r" ) ax . scatter ( X...[ green , 0 ], X [ green , 1 ], c = "g" ) ax . xaxis . set_major_formatter...scikit-learn.org/stable/auto_examples/manifold/plot_t_sne_perplexity.html