Man pages for cuml
R Interface for the RAPIDS cuML Suite of Libraries
| cuml | cuml |
| cuml_agglomerative_clustering | Perform Single-Linkage Agglomerative Clustering. |
| cuml_can_predict_class_probabilities | Determine whether a CuML model can predict class... |
| cuml_dbscan | Run the DBSCAN clustering algorithm. |
| cuml_fil_enabled | Determine whether Forest Inference Library (FIL)... |
| cuml_fil_load_model | Load a XGBoost or LightGBM model file. |
| cuml_inverse_transform | Apply the inverse transformation defined by a trained cuML... |
| cuml_is_classifier | Determine whether a CuML model is a classifier. |
| cuml_kmeans | Run the K means clustering algorithm. |
| cuml_knn | Build a KNN model. |
| cuml_knn_algo_ivfflat | Build a specification for the "ivfflat" KNN query algorithm. |
| cuml_knn_algo_ivfpq | Build a specification for the "ivfpq" KNN query algorithm. |
| cuml_knn_algo_ivfsq | Build a specification for the "ivfsq" KNN query algorithm. |
| cuml_pca | Perform principal component analysis. |
| cuml_predict | Make predictions on new data points. |
| cuml_rand_forest | Train a random forest model. |
| cuml_rand_proj | Random projection for dimensionality reduction. |
| cuml_serialize | Serialize a CuML model |
| cuml_svm | Train a SVM model. |
| cuml_transform | Transform data using a trained cuML model. |
| cuml_tsne | t-distributed Stochastic Neighbor Embedding. |
| cuml_tsvd | Truncated SVD. |
| cuml_umap | Uniform Manifold Approximation and Projection (UMAP) for... |
| cuml_unserialize | Unserialize a CuML model state |
| has_libcuml | Determine whether cuml was linked to a valid version of the... |
| predict.cuml_fil | Make predictions on new data points. |
| predict.cuml_knn | Make predictions on new data points. |
| predict.cuml_rand_forest | Make predictions on new data points. |
| predict.cuml_svm | Make predictions on new data points. |
