- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 551 - 560 of 1,555 for document (1.5 sec)
-
Scalable learning with polynomial kernel approx...
This example illustrates the use of PolynomialCountSketch to efficiently generate polynomial kernel feature-space approximations. This is used to train linear classifiers that approximate the accur...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Using KBinsDiscretizer to discretize continuous...
The example compares prediction result of linear regression (linear model) and decision tree (tree based model) with and without discretization of real-valued features. As is shown in the result be...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
Dimensionality Reduction with Neighborhood Comp...
Sample usage of Neighborhood Components Analysis for dimensionality reduction. This example compares different (linear) dimensionality reduction methods applied on the Digits data set. The data set...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
make_spd_matrix — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version make_spd_matrix # sklearn.datasets. make_spd_matrix (...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_spd_matrix.html -
dump_svmlight_file — scikit-learn 1.7.1 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version dump_svmlight_file # sklearn.datasets. dump_svmlight_...scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html -
sklearn.gaussian_process — scikit-learn 1.7.1 d...
Gaussian process based regression and classification. User guide. See the Gaussian Processes section for further details. Kernels: A set of kernels that can be combined by operators and used in Gau...scikit-learn.org/stable/api/sklearn.gaussian_process.html -
get_scorer_names — scikit-learn 1.7.1 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version get_scorer_names # sklearn.metrics. get_scorer_names ...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer_names.html -
fetch_lfw_pairs — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version fetch_lfw_pairs # sklearn.datasets. fetch_lfw_pairs (...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html -
clear_data_home — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version clear_data_home # sklearn.datasets. clear_data_home (...scikit-learn.org/stable/modules/generated/sklearn.datasets.clear_data_home.html -
make_column_selector — scikit-learn 1.7.1 docum...
Gallery examples: Column Transformer with Mixed Types Categorical Feature Support in Gradient Boosting Combine predictors using stacking Evaluation of outlier detection estimatorsscikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html