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EmpiricalCovariance — scikit-learn 1.5.2 docume...
Gallery examples: Robust covariance estimation and Mahalanobis distances relevance Robust vs Empirical covariance estimate Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihoodscikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
MetaEstimatorMixin — scikit-learn 1.5.2 documen...
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html -
sklearn — scikit-learn 1.5.2 documentation
Configure global settings and get information about the working environment.scikit-learn.org/stable/api/sklearn.html -
make_spd_matrix — scikit-learn 1.5.2 documentation
make_spd_matrix ( n_dim = 2 , random_state = 42 ) array([[2.09..., 0.34...],...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_spd_matrix.html -
sklearn.gaussian_process — scikit-learn 1.5.2 d...
takes two kernels \(k_1\) and \(k_2\) and combines them via kernels.RBF...takes two kernels \(k_1\) and \(k_2\) and combines them via kernels.WhiteKernel...scikit-learn.org/stable/api/sklearn.gaussian_process.html -
ledoit_wolf_shrinkage — scikit-learn 1.5.2 docu...
2 ], [ .2 , .8 ]]) >>> rng = np . random...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
Lasso on dense and sparse data — scikit-learn 1...
values lower than 2.5 with 0s Xs [ Xs < 2.5 ] = 0.0 # create...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html -
Visualization of MLP weights on MNIST — scikit-...
44139186 Iteration 2, loss = 0.19174891 Iteration 3,...= 1 , learning_rate_init = 0.2 , ) # this example won't converge...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
sklearn.random_projection — scikit-learn 1.5.2 ...
Random projection transformers. Random projections are a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional ...scikit-learn.org/stable/api/sklearn.random_projection.html -
fetch_california_housing — scikit-learn 1.5.2 d...
Gallery examples: Release Highlights for scikit-learn 0.24 Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values before buildin...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html