|
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. |
|
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_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_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_ols()
|
Train a OLS model. |
|
cuda_ml_pca()
|
Perform principal component analysis. |
|
cuda_ml_rand_forest()
|
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_serialize() cuda_ml_serialise()
|
Serialize a CuML model |
|
cuda_ml_svm()
|
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_unserialize() cuda_ml_unserialise()
|
Unserialize a CuML model state |
|
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_rand_forest>)
|
Make predictions on new data points. |
|
predict(<cuda_ml_svm>)
|
Make predictions on new data points. |