Man pages for abresler/sklearn
sklearn port

import_sklearnImport SK Learn
sk_bayesSK Bayes These are supervised learning methods based on...
sk_calibrationSK Calibration Calibration functions Calibration examples
sk_clusterSKLearn Clustering
sk_covarianceSK Covariance co-variance functions co-variance examples
sk_cross_decompositionSK Cross Decomposition Cross-decomposition functions Cross...
sk_datasetsSKLearn Data
sk_decompSK Decomposition decomposition functions decomposition...
sk_discriminant_analysisSK Discriminant Models Discriminant functions Discriminant...
sk_ds_to_tibbleConvert sci-kit learn dataset into a tibble
sk_dummySK Dummy Variables Dummy variable functions
sk_ensembleSK Ensemble
sk_feature_extractionSK Feature extraction
sk_feature_selectionSK Feature Selection Feature selection functions feature...
sk_gaussian_processSK Gaussian Process Gaussian process functions Gaussian...
sk_imputeSK Impute impute functions
sk_isotonicSK Isotonic Isotonic functions Isotonic examples
sk_kernel_approximationSK Kernel Approxomation Kernel Approxomation functions Kernel...
sk_kernel_ridgeSK Kernel Ridge Kernel Ridge functions Kernel Ridge examples
sklearnR port of the Python scikit-learn module
sk_lmSK Learn LM • linear model functions • linear model examples
sk_manifoldSK Manifold
sk_metricsSK Metrics metrics functions
sk_mixtureSK Mixture Mixture functions
sk_model_selectionSK Model Selection
sk_multi_classSK Multi Class multi-class functions multiclass examples
sk_multioutputSK Multioutput Multioutput functions multioutput examples
sk_neighborsNeighbors
sk_nnetSK Neural Net Neural Network functions Neural Network...
sk_preprocessingSK Learn Preprocessing
sk_random_projectionSK Random Projection Random projection functions Random...
sk_semi_supervisedSK Semi Supervised
sk_svmSK SVM
sk_tibbleConvert SK Matrix to Tibble
sk_treeSK Tree Models tree functions tree examples
sk_utilsSK Utilities utility functions
abresler/sklearn documentation built on Jan. 25, 2020, 6:43 p.m.