EmbeddingFeature#

EmbeddingFeature #

Represents an embedding feature.

PARAMETER	DESCRIPTION
`name`	The name of the embedding feature. TYPE: `str` DEFAULT: `None`
`dimension`	The dimensionality of the embedding feature. TYPE: `int` DEFAULT: `None`
`similarity_function_type`	The type of similarity function used for the embedding feature. Available functions are `L2`, `COSINE`, and `DOT_PRODUCT`. Defaults to `SimilarityFunctionType.L2`. TYPE: `SimilarityFunctionType` DEFAULT: `SimilarityFunctionType.L2`
`model`	`hsml.model.Model` A Model in hsml. DEFAULT: `None`
`feature_group`	The feature group object that contains the embedding feature. DEFAULT: `None`
`embedding_index`	`EmbeddingIndex` The index for managing embedding features. DEFAULT: `None`

dimension

int: The dimensionality of the embedding feature.

dimenstion

The dimensionality of the embedding feature.

This one is excluded from the docs as the name is misspelled but kept to avoid breaking the API.

embedding_index

EmbeddingIndex: The index for managing embedding features.

feature_group

FeatureGroup: The feature group object that contains the embedding feature.

model

hsml.model.Model: The Model in hsml.

name

str: The name of the embedding feature.

similarity_function_type

SimilarityFunctionType: The type of similarity function used for the embedding feature.

json()

Serialize the EmbeddingFeature object to a JSON string.

to_dict()

Convert the EmbeddingFeature object to a dictionary.

RETURNS	DESCRIPTION
	`dict`: A dictionary representation of the EmbeddingFeature object.