R Interface for the RAPIDS cuML Suite of Libraries

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Documentation for package ‘cuda.ml’ version 0.3.2

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cuda.ml cuda.ml
cuda_ml_agglomerative_clustering Perform Single-Linkage Agglomerative Clustering.
cuda_ml_can_predict_class_probabilities Determine whether a CuML model can predict class probabilities.
cuda_ml_dbscan Run the DBSCAN clustering algorithm.
cuda_ml_elastic_net Train a linear model using elastic regression.
cuda_ml_elastic_net.data.frame Train a linear model using elastic regression.
cuda_ml_elastic_net.default Train a linear model using elastic regression.
cuda_ml_elastic_net.formula Train a linear model using elastic regression.
cuda_ml_elastic_net.matrix Train a linear model using elastic regression.
cuda_ml_elastic_net.recipe Train a linear model using elastic regression.
cuda_ml_fil_enabled Determine whether Forest Inference Library (FIL) functionalities are enabled in the current installation of cuda.ml.
cuda_ml_fil_load_model Load a XGBoost or LightGBM model file.
cuda_ml_inverse_transform Apply the inverse transformation defined by a trained cuML model.
cuda_ml_is_classifier Determine whether a CuML model is a classifier.
cuda_ml_kmeans Run the K means clustering algorithm.
cuda_ml_knn Build a KNN model.
cuda_ml_knn.data.frame Build a KNN model.
cuda_ml_knn.default Build a KNN model.
cuda_ml_knn.formula Build a KNN model.
cuda_ml_knn.matrix Build a KNN model.
cuda_ml_knn.recipe Build a KNN model.
cuda_ml_knn_algo_ivfflat Build a specification for the "ivfflat" KNN query algorithm.
cuda_ml_knn_algo_ivfpq Build a specification for the "ivfpq" KNN query algorithm.
cuda_ml_knn_algo_ivfsq Build a specification for the "ivfsq" KNN query algorithm.
cuda_ml_lasso Train a linear model using LASSO regression.
cuda_ml_lasso.data.frame Train a linear model using LASSO regression.
cuda_ml_lasso.default Train a linear model using LASSO regression.
cuda_ml_lasso.formula Train a linear model using LASSO regression.
cuda_ml_lasso.matrix Train a linear model using LASSO regression.
cuda_ml_lasso.recipe Train a linear model using LASSO regression.
cuda_ml_logistic_reg Train a logistic regression model.
cuda_ml_logistic_reg.data.frame Train a logistic regression model.
cuda_ml_logistic_reg.default Train a logistic regression model.
cuda_ml_logistic_reg.formula Train a logistic regression model.
cuda_ml_logistic_reg.matrix Train a logistic regression model.
cuda_ml_logistic_reg.recipe Train a logistic regression model.
cuda_ml_ols Train a OLS model.
cuda_ml_ols.data.frame Train a OLS model.
cuda_ml_ols.default Train a OLS model.
cuda_ml_ols.formula Train a OLS model.
cuda_ml_ols.matrix Train a OLS model.
cuda_ml_ols.recipe Train a OLS model.
cuda_ml_pca Perform principal component analysis.
cuda_ml_rand_forest Train a random forest model.
cuda_ml_rand_forest.data.frame Train a random forest model.
cuda_ml_rand_forest.default Train a random forest model.
cuda_ml_rand_forest.formula Train a random forest model.
cuda_ml_rand_forest.matrix Train a random forest model.
cuda_ml_rand_forest.recipe Train a random forest model.
cuda_ml_rand_proj Random projection for dimensionality reduction.
cuda_ml_ridge Train a linear model using ridge regression.
cuda_ml_ridge.data.frame Train a linear model using ridge regression.
cuda_ml_ridge.default Train a linear model using ridge regression.
cuda_ml_ridge.formula Train a linear model using ridge regression.
cuda_ml_ridge.matrix Train a linear model using ridge regression.
cuda_ml_ridge.recipe Train a linear model using ridge regression.
cuda_ml_serialise Serialize a CuML model
cuda_ml_serialize Serialize a CuML model
cuda_ml_sgd Train a MBSGD linear model.
cuda_ml_sgd.data.frame Train a MBSGD linear model.
cuda_ml_sgd.default Train a MBSGD linear model.
cuda_ml_sgd.formula Train a MBSGD linear model.
cuda_ml_sgd.matrix Train a MBSGD linear model.
cuda_ml_sgd.recipe Train a MBSGD linear model.
cuda_ml_svm Train a SVM model.
cuda_ml_svm.data.frame Train a SVM model.
cuda_ml_svm.default Train a SVM model.
cuda_ml_svm.formula Train a SVM model.
cuda_ml_svm.matrix Train a SVM model.
cuda_ml_svm.recipe Train a SVM model.
cuda_ml_transform Transform data using a trained cuML model.
cuda_ml_tsne t-distributed Stochastic Neighbor Embedding.
cuda_ml_tsvd Truncated SVD.
cuda_ml_umap Uniform Manifold Approximation and Projection (UMAP) for dimension reduction.
cuda_ml_unserialise Unserialize a CuML model state
cuda_ml_unserialize Unserialize a CuML model state
cuML_major_version Get the major version of the RAPIDS cuML shared library cuda.ml was linked to.
cuML_minor_version Get the minor version of the RAPIDS cuML shared library cuda.ml was linked to.
has_cuML Determine whether cuda.ml was linked to a valid version of the RAPIDS cuML shared library.
predict.cuda_ml_fil Make predictions on new data points.
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 Make predictions on new data points.
predict.cuda_ml_rand_forest Make predictions on new data points.
predict.cuda_ml_svm Make predictions on new data points.