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477 KiB
7 years ago
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{"entries":[{"name":"1.1. Generalized Linear Models","path":"modules/linear_model","type":"Guide"},{"name":"1.2. Linear and Quadratic Discriminant Analysis","path":"modules/lda_qda","type":"Guide"},{"name":"1.3. Kernel ridge regression","path":"modules/kernel_ridge","type":"Guide"},{"name":"1.4. Support Vector Machines","path":"modules/svm","type":"Guide"},{"name":"1.5. Stochastic Gradient Descent","path":"modules/sgd","type":"Guide"},{"name":"1.6. Nearest Neighbors","path":"modules/neighbors","type":"Guide"},{"name":"1.7. Gaussian Processes","path":"modules/gaussian_process","type":"Guide"},{"name":"1.8. Cross decomposition","path":"modules/cross_decomposition","type":"Guide"},{"name":"1.9. Naive Bayes","path":"modules/naive_bayes","type":"Guide"},{"name":"1.10. Decision Trees","path":"modules/tree","type":"Guide"},{"name":"1.11. Ensemble methods","path":"modules/ensemble","type":"Guide"},{"name":"1.12. Multiclass and multilabel algorithms","path":"modules/multiclass","type":"Guide"},{"name":"1.13. Feature selection","path":"modules/feature_selection","type":"Guide"},{"name":"1.14. Semi-Supervised","path":"modules/label_propagation","type":"Guide"},{"name":"1.15. Isotonic regression","path":"modules/isotonic","type":"Guide"},{"name":"1.16. Probability calibration","path":"modules/calibration","type":"Guide"},{"name":"1.17. Neural network models","path":"modules/neural_networks_supervised","type":"Guide"},{"name":"2.1. Gaussian mixture models","path":"modules/mixture","type":"Guide"},{"name":"2.2. Manifold learning","path":"modules/manifold","type":"Guide"},{"name":"2.3. Clustering","path":"modules/clustering","type":"Guide"},{"name":"2.4. Biclustering","path":"modules/biclustering","type":"Guide"},{"name":"2.5. Decomposing signals in components","path":"modules/decomposition","type":"Guide"},{"name":"2.6. Covariance estimation","path":"modules/covariance","type":"Guide"},{"name":"2.7. Novelty and Outlier Detection","path":"modules/outlier_detection","type":"Guide"},{"name":"2.8. Density Estimation","path":"modules/density","type":"Guide"},{"name":"2.9. Neural network models","path":"modules/neural_networks_unsupervised","type":"Guide"},{"name":"3.1. Cross-validation","path":"modules/cross_validation","type":"Guide"},{"name":"3.2. Tuning the hyper-parameters of an estimator","path":"modules/grid_search","type":"Guide"},{"name":"3.3. Model evaluation","path":"modules/model_evaluation","type":"Guide"},{"name":"3.4. Model persistence","path":"modules/model_persistence","type":"Guide"},{"name":"3.5. Validation curves","path":"modules/learning_curve","type":"Guide"},{"name":"4.1. Pipeline and FeatureUnion","path":"modules/pipeline","type":"Guide"},{"name":"4.2. Feature extraction","path":"modules/feature_extraction","type":"Guide"},{"name":"4.3. Preprocessing data","path":"modules/preprocessing","type":"Guide"},{"name":"4.4. Unsupervised dimensionality reduction","path":"modules/unsupervised_reduction","type":"Guide"},{"name":"4.5. Random Projection","path":"modules/random_projection","type":"Guide"},{"name":"4.6. Kernel Approximation","path":"modules/kernel_approximation","type":"Guide"},{"name":"4.7. Pairwise metrics, Affinities and Kernels","path":"modules/metrics","type":"Guide"},{"name":"4.8. Transforming the prediction target","path":"modules/preprocessing_targets","type":"Guide"},{"name":"5. Dataset loading utilities","path":"datasets/index","type":"Guide"},{"name":"6. Strategies to scale computationally","path":"modules/scaling_strategies","type":"Guide"},{"name":"API Reference","path":"modules/classes","type":"Guide"},{"name":"base.BaseEstimator","path":"modules/generated/sklearn.base.baseestimator#sklearn.base.BaseEstimator","type":"base"},{"name":"base.BaseEstimator","path":"modules/generated/sklearn.base.baseestimator","type":"base"},{"name":"base.BaseEstimator.get_params()","path":"modules/generated/sklearn.base.baseestimator#sklearn.base.BaseEstimator.get_params","type":"base"},{"name":"base.BaseEstimator.set_params()","path":"modules/generated/sklearn.base.baseestimator#sklearn.base.BaseEstimator.set_params","
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