VectorScore
Individual vector score for a search result
Properties
| Name | Type | Description | Notes |
|---|---|---|---|
| var_field | str | Document field that was searched (name, description, content) | |
| vector | str | Vector name that was used (wmtr, splade, dense, etc.) | |
| score | float | Raw score from this vector | |
| rank | int | Rank of this result within this vector's results (1-based) |
Example
from amgix_client.models.vector_score import VectorScore
# TODO update the JSON string below
json = "{}"
# create an instance of VectorScore from a JSON string
vector_score_instance = VectorScore.from_json(json)
# print the JSON string representation of the object
print(VectorScore.to_json())
# convert the object into a dict
vector_score_dict = vector_score_instance.to_dict()
# create an instance of VectorScore from a dict
vector_score_from_dict = VectorScore.from_dict(vector_score_dict)