R Interface for the RAPIDS cuML Suite of Libraries

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Documentation for package ‘cuml’ version 0.2.1

• DESCRIPTION file.

Help Pages

cuml	cuml
cuml_agglomerative_clustering	Perform Single-Linkage Agglomerative Clustering.
cuml_can_predict_class_probabilities	Determine whether a CuML model can predict class probabilities.
cuml_dbscan	Run the DBSCAN clustering algorithm.
cuml_fil_enabled	Determine whether Forest Inference Library (FIL) functionalities are enabled in the current installation of cuml.
cuml_fil_load_model	Load a XGBoost or LightGBM model file.
cuml_inverse_transform	Apply the inverse transformation defined by a trained cuML model.
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.data.frame	Build a KNN model.
cuml_knn.default	Build a KNN model.
cuml_knn.formula	Build a KNN model.
cuml_knn.matrix	Build a KNN model.
cuml_knn.recipe	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_forest.data.frame	Train a random forest model.
cuml_rand_forest.default	Train a random forest model.
cuml_rand_forest.formula	Train a random forest model.
cuml_rand_forest.matrix	Train a random forest model.
cuml_rand_forest.recipe	Train a random forest model.
cuml_rand_proj	Random projection for dimensionality reduction.
cuml_serialise	Serialize a CuML model
cuml_serialize	Serialize a CuML model
cuml_svm	Train a SVM model.
cuml_svm.data.frame	Train a SVM model.
cuml_svm.default	Train a SVM model.
cuml_svm.formula	Train a SVM model.
cuml_svm.matrix	Train a SVM model.
cuml_svm.recipe	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 dimension reduction.
cuml_unserialise	Unserialize a CuML model state
cuml_unserialize	Unserialize a CuML model state
has_libcuml	Determine whether cuml was linked to a valid version of the RAPIDS cuML shared library.
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.