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NMF — scikit-learn 1.6.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.5: Xt was deprecated in 1.5 and will be removed in 1.7....scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html -
1.2. Linear and Quadratic Discriminant Analysis...
equal to \(\frac{1}{n - 1} X_k^tX_k = \frac{1}{n - 1} V S^2 V^t\)...\frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2} (x-\mu_k)^t...scikit-learn.org/stable/modules/lda_qda.html -
StandardScaler — scikit-learn 1.6.0 documentation
( data )) [[-1. -1.] [-1. -1.] [ 1. 1.] [ 1. 1.]] >>> print (...0 , 0 ], [ 0 , 0 ], [ 1 , 1 ], [ 1 , 1 ]] >>> scaler = StandardScaler...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
StratifiedShuffleSplit — scikit-learn 1.6.0 doc...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...np . array ([ 0 , 0 , 0 , 1 , 1 , 1 ]) >>> sss = StratifiedShuffleSpl...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
Kernel PCA — scikit-learn 1.6.0 documentation
1 ], c = y_train ) train_ax . set_ylabel ( "Feature #1" )...= make_circles ( n_samples = 1_000 , factor = 0.3 , noise = 0.05...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
Lasso — scikit-learn 1.6.0 documentation
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2...* || W || _11 where \(||W||_{1,1}\) is the sum of the magnitude...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
Release Highlights for scikit-learn 1.0 — sciki...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...import make_pipeline y = [ 1 , 0 , 1 ] pipe = make_pipeline ( preprocessor...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
PassiveAggressiveRegressor — scikit-learn 1.6.0...
default=1.0 Maximum step size (regularization). Defaults to 1.0. fit_intercept...PassiveAggressiveReg ( * , C = 1.0 , fit_intercept = True , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
KernelPCA — scikit-learn 1.6.0 documentation
coef0 = 1 , kernel_params = None , alpha = 1.0 , fit_inverse_transform...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.decomposition.KernelPCA.html -
MiniBatchSparsePCA — scikit-learn 1.6.0 documen...
means 1 unless in a joblib.parallel_backend context. -1 means...tol to 0.0. Added in version 1.1. max_no_improvement int or None,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchSparsePCA.html