Man pages for cuda.ml
R Interface for the RAPIDS cuML Suite of Libraries
| bundle.cuda_ml_model | Bundle a cuda.ml model |
| cuda_ml_agglomerative_clustering | Perform single-linkage agglomerative clustering. |
| cuda_ml_backend_info | Report native-backend metadata |
| cuda_ml_cache_clean | Remove cuda.ml native-backend caches |
| cuda_ml_dbscan | Run the DBSCAN clustering algorithm. |
| cuda_ml_elastic_net | Train a linear model using elastic net regression. |
| cuda_ml_install | Install a cuda.ml native backend |
| cuda_ml_kmeans | Run the k-means clustering algorithm. |
| cuda_ml_knn | Build a KNN model. |
| cuda_ml_knn_algo | Configure an approximate KNN query algorithm |
| cuda_ml_lasso | Train a linear model using LASSO regression. |
| cuda_ml_linear_reg | Train a regularized linear regression model |
| cuda_ml_logistic_reg | Train a logistic or multinomial regression model |
| cuda_ml_nvforest_export | Export and import an nvForest checkpoint pair |
| cuda_ml_nvforest_info | Inspect an nvForest model |
| cuda_ml_nvforest_leaf_ids | Return terminal leaf identifiers |
| cuda_ml_nvforest_load_model | Load a tree ensemble with nvForest |
| cuda_ml_nvforest_predict_per_tree | Return individual-tree predictions |
| cuda_ml_ols | Train an OLS model. |
| cuda.ml-package | cuda.ml |
| cuda_ml_pca | Perform principal component analysis. |
| cuda_ml_rand_forest | Train a random forest model |
| cuda_ml_ridge | Train a linear model using ridge regression. |
| cuda_ml_runtime_audit | Audit the installed native backend |
| cuda_ml_serialize | Save and restore supported cuda.ml models |
| cuda_ml_sgd | Train a linear model using mini-batch stochastic gradient... |
| cuda_ml_svm | Train a SVM model. |
| cuda_ml_transform | Transform data with a dimensionality-reduction model |
| cuda_ml_tsne | Perform t-distributed stochastic neighbor embedding. |
| cuda_ml_tsvd | Truncated SVD. |
| cuda_ml_umap | Uniform Manifold Approximation and Projection (UMAP) for... |
| predict.cuda_ml_knn | Make predictions on new data points. |
| predict.cuda_ml_linear_model | Make predictions on new data points. |
| predict.cuda_ml_logistic_reg | Predict from a logistic or multinomial regression model |
| predict.cuda_ml_nvforest | Predict with an nvForest model |
| predict.cuda_ml_svm | Make predictions on new data points. |
