Modules

Here is a list of all modules:

C++ implementation of Dbscan algo	Fits a DBSCAN model on an input feature matrix and outputs the labels and core_sample_indices
C-wrapper to C++ implementation of Dbscan algo	Fits a DBSCAN model on an input feature matrix and outputs the labels
Logging levels used in cuML
Expand a C-style format string	Expands C-style formatted string into std::string
Helper macros for dealing with logging
scikit-learn-esq make_blobs	GPU-equivalent of sklearn.datasets.make_blobs
fit an ordinary least squares model
fit a ridge regression model (l2 regularized least squares)
to make predictions with a fitted ordinary least squares and ridge
: structure holding parameters used by random projection model
C-wrapper to C++ implementation of Support Vector Machine
Training methods	Fits a HoltWinters model
Forecast methods	Forecasts future points from fitted HoltWinters model