Knn

Object representing a k-nearest neighbor search query

Properties

Name	Type	Description	Notes
var_field	str	Field to perform the k-nearest neighbor search on
k	int	The number of nearest neighbors to return
query	KnnQuery		[optional]
query_vector	List[float]	The vector used as input for the KNN search	[optional]
doc_id	int	The docuemnt ID used as input for the KNN search	[optional]
ef	int	Optional parameter controlling the accuracy of the search	[optional]
rescore	bool	Optional parameter enabling KNN rescoring (disabled by default)	[optional]
oversampling	float	Optional parameter setting a factor by which k is multiplied when executing the KNN search	[optional]
filter	QueryFilter		[optional]

Example

from manticoresearch.models.knn import Knn

# TODO update the JSON string below
json = "{}"
# create an instance of Knn from a JSON string
knn_instance = Knn.from_json(json)
# print the JSON string representation of the object
print(Knn.to_json())

# convert the object into a dict
knn_dict = knn_instance.to_dict()
# create an instance of Knn from a dict
knn_from_dict = Knn.from_dict(knn_dict)

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