Fits a DBSCAN model on an input feature matrix and outputs the labels. More...

Functions
cumlError_t	cumlSpDbscanFit (cumlHandle_t handle, float input, int n_rows, int n_cols, float eps, int min_pts, int labels, int *core_sample_indices, size_t max_bytes_per_batch, int verbosity)

cumlError_t	cumlDpDbscanFit (cumlHandle_t handle, double input, int n_rows, int n_cols, double eps, int min_pts, int labels, int *core_sample_indices, size_t max_bytes_per_batch, int verbosity)

Detailed Description

Fits a DBSCAN model on an input feature matrix and outputs the labels.

Parameters

[in]	handle	cuml handle to use across the algorithm
[in]	input	row-major input feature matrix
[in]	n_rows	number of samples in the input feature matrix
[in]	n_cols	number of features in the input feature matrix
[in]	eps	the epsilon value to use for epsilon-neighborhood determination
[in]	min_pts	minimum number of points to determine a cluster
[out]	labels	(size n_rows) output labels array
[out]	core_sample_indices	(size n_rows) output array containing the indices of each core point. If the number of core points is less than n_rows, the right will be padded with -1. Setting this to NULL will prevent calculating the core sample indices
[in]	max_mem_bytes	the maximum number of bytes to be used for each batch of the pairwise distance calculation. This enables the trade off between memory usage and algorithm execution time.
[in]	verbosity	Set a verbosity level (higher values means quieter) Refer to `cuml/common/logger.hpp` for these levels

Returns: CUML_SUCCESS on success and other corresponding flags upon any failures.

Function Documentation

cumlError_t cumlDpDbscanFit	(	cumlHandle_t	handle,
		double *	input,
		int	n_rows,
		int	n_cols,
		double	eps,
		int	min_pts,
		int *	labels,
		int *	core_sample_indices,
		size_t	max_bytes_per_batch,
		int	verbosity
	)

cumlError_t cumlSpDbscanFit	(	cumlHandle_t	handle,
		float *	input,
		int	n_rows,
		int	n_cols,
		float	eps,
		int	min_pts,
		int *	labels,
		int *	core_sample_indices,
		size_t	max_bytes_per_batch,
		int	verbosity
	)