Parametrized Constructor

class KBest(K_features: int, R: int, L: int, A: int, metric: string, init_builder_type: string, numa_enabled: bool, numa_nodes_number: int)

Initialize the build of graph search.

Parameter	Description	Data Type	Value Range
K_features	Number of feature dimensions.	int	[1, 2999]
R	Number of neighboring nodes.	int	[11, 499]
L	Size of the candidate node list during the graph build.	int	[11, 1999]
A	Angle threshold during the pruning of graph build.	int	[10, 360]
metric	Distance measurement indicator.	Character string	L2 or IP. L2 indicates the Euclidean distance. IP indicates the inner product distance.
init_builder_type	Type of the index to build.	Character string	RNNDescent and NNDescent indicate two different algorithms for building the k-nearest neighbor graph. RNNDescent is often used.
numa_enabled	Whether to enable NUMA optimization.	Boolean	-
numa_nodes_number	Number of used NUMA nodes.	int	≥ 1

Parent topic: Python