- Sort Score
- Num 10 results
- Language All
- Labels All
Results 901 - 910 of 7,459 for 1 (0.33 seconds)
Filter
-
Release Highlights — scikit-learn 1.8.0 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 Release...scikit-learn.org/stable/auto_examples/release_highlights/index.html -
The Johnson-Lindenstrauss bound for embedding w...
by: \[(1 - eps) \|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps) \|u...matrix with size: 1.304 MB Mean distances rate: 1.02 (0.17) Projected...scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html -
One-class SVM with non-linear kernel (RBF) — sc...
reshape ( - 1 , 1 ), yy . reshape ( - 1 , 1 )], axis = 1 ) DecisionBoundaryDisp...OneClassSVM ( nu = 0.1 , kernel = "rbf" , gamma = 0.1 ) clf . fit (...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
12. Dispatching — scikit-learn 1.8.0 documentation
1. Array API support (experimental) 12.1.1. Enabling...array API support 12.1.2. Example usage 12.1.3. Support for Array...scikit-learn.org/stable/dispatching.html -
5. Inspection — scikit-learn 1.8.0 documentation
1.1. Partial dependence plots 5.1.2. Individual...expectation (ICE) plot 5.1.3. Mathematical Definition 5.1.4. Computation...scikit-learn.org/stable/inspection.html -
2.9. Neural network models (unsupervised) — sci...
\[\sigma(x) = \frac{1}{1 + e^{-x}}\] 2.9.1.3. Stochastic Maximum...for digit classification 2.9.1.1. Graphical model and parametrization...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
Novelty detection with Local Outlier Factor (LO...
n_neighbors) is typically set 1) greater than the minimum number...novelty = True , contamination = 0.1 ) clf . fit ( X_train ) # DO NOT...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
sklearn.decomposition — scikit-learn 1.8.0 docu...
Matrix decomposition algorithms. These include PCA, NMF, ICA, and more. Most of the algorithms of this module can be regarded as dimensionality reduction techniques. User guide. See the Decomposing...scikit-learn.org/stable/api/sklearn.decomposition.html -
Model Selection — scikit-learn 1.8.0 documentation
Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...scikit-learn.org/stable/auto_examples/model_selection/index.html -
sklearn.feature_extraction — scikit-learn 1.8.0...
Feature extraction from raw data. User guide. See the Feature extraction section for further details. From images: Utilities to extract features from images. From text: Utilities to build feature v...scikit-learn.org/stable/api/sklearn.feature_extraction.html