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is_multilabel — scikit-learn 1.6.1 documentation
1 , 0 , 1 ]) False >>> is_multilabel ([[ 1 ], [ 0 ,...is_multilabel ( np . array ([[ 1 , 0 ], [ 0 , 0 ]])) True >>> is_multilabel...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.is_multilabel.html -
Getting Started — scikit-learn 1.6.1 documentation
dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...transform ( X ) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...scikit-learn.org/stable/getting_started.html -
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
covariance matrix (AR(1) process) r = 0.1 real_cov = toeplitz (...plot MSE plt . subplot ( 2 , 1 , 1 ) plt . errorbar ( n_samples_range...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
Effect of varying threshold for self-training —...
mean ( axis = 1 ), yerr = scores . std ( axis = 1 ), capsize =...( axis = 1 ), yerr = amount_labeled . std ( axis = 1 ), capsize...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.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 -
CompoundKernel — scikit-learn 1.6.1 documentation
theta ) [1.09861229 0.69314718] __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.CompoundKernel.html -
8. Computing with scikit-learn — scikit-learn 1...
1.1. Scaling with instances using out-of-core...Computing with scikit-learn # 8.1. Strategies to scale computationally:...scikit-learn.org/stable/computing.html -
Imputing missing values before building an esti...
mses_california [ 1 ], stds_california [ 1 ] = get_impute_zero_score...y_miss_california ) mses_diabetes [ 1 ], stds_diabetes [ 1 ] = get_impute_zero_score...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
Ordinary Least Squares and Ridge Regression Var...
1 ] . T y_train = [ 0.5 , 1 ] X_test = np . c_...this_X = 0.1 * np . random . normal ( size = ( 2 , 1 )) + X_train...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html -
L1-based models for Sparse Signals — scikit-lea...
1 , n_samples ) y += 0.2 * rng . normal ( 0 , 1 , n_samples...linthresh = 10e-4 , vmin =- 1 , vmax = 1 ), cbar_kws = { "label"...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html