cuda.ml (version 0.3.2)

R Interface for the RAPIDS cuML Suite of Libraries

Description

R interface for RAPIDS cuML (), a suite of GPU-accelerated machine learning libraries powered by CUDA ().

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Version

Install

install.packages('cuda.ml')

Monthly Downloads

154

Version

0.3.2

License

MIT + file LICENSE

Maintainer

Daniel Falbel

Last Published

January 8th, 2022

Functions in cuda.ml (0.3.2)

cuda_ml_fil_enabled

Determine whether Forest Inference Library (FIL) functionalities are enabled in the current installation of cuda.ml.

cuda_ml_agglomerative_clustering

Perform Single-Linkage Agglomerative Clustering.

cuda_ml_elastic_net

Train a linear model using elastic regression.

cuda_ml_dbscan

Run the DBSCAN clustering algorithm.

cuda.ml

cuML_minor_version

Get the minor version of the RAPIDS cuML shared library cuda.ml was linked to.

cuML_major_version

Get the major version of the RAPIDS cuML shared library cuda.ml was linked to.

cuda_ml_can_predict_class_probabilities

Determine whether a CuML model can predict class probabilities.

cuda_ml_fil_load_model

Load a XGBoost or LightGBM model file.

cuda_ml_lasso

Train a linear model using LASSO regression.

cuda_ml_knn_algo_ivfpq

Build a specification for the "ivfpq" KNN query algorithm.

cuda_ml_inverse_transform

Apply the inverse transformation defined by a trained cuML model.

cuda_ml_tsne

t-distributed Stochastic Neighbor Embedding.

cuda_ml_transform

Transform data using a trained cuML model.

cuda_ml_ridge

Train a linear model using ridge regression.

cuda_ml_knn_algo_ivfsq

Build a specification for the "ivfsq" KNN query algorithm.

has_cuML

Determine whether cuda.ml was linked to a valid version of the RAPIDS cuML shared library.

cuda_ml_unserialize

Unserialize a CuML model state

cuda_ml_kmeans

Run the K means clustering algorithm.

cuda_ml_is_classifier

Determine whether a CuML model is a classifier.

cuda_ml_serialize

Serialize a CuML model

predict.cuda_ml_fil

Make predictions on new data points.

cuda_ml_knn

Build a KNN model.

cuda_ml_knn_algo_ivfflat

Build a specification for the "ivfflat" KNN query algorithm.

cuda_ml_sgd

Train a MBSGD linear model.

Make predictions on new data points.

predict.cuda_ml_svm

Make predictions on new data points.

predict.cuda_ml_rand_forest

Make predictions on new data points.

cuda_ml_logistic_reg

Train a logistic regression model.

cuda_ml_umap

Uniform Manifold Approximation and Projection (UMAP) for dimension reduction.

cuda_ml_tsvd

Truncated SVD.

predict.cuda_ml_linear_model

Make predictions on new data points.

predict.cuda_ml_logistic_reg

Make predictions on new data points.

cuda_ml_rand_forest

Train a random forest model.

cuda_ml_pca

Perform principal component analysis.

cuda_ml_rand_proj

Random projection for dimensionality reduction.