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/*
* Trieve API
*
* Trieve OpenAPI Specification. This document describes all of the operations available through the Trieve API.
*
* The version of the OpenAPI document: 0.11.7
* Contact: developers@trieve.ai
* Generated by: https://openapi-generator.tech
*/
use crate::models;
/// RecommendationStrategy : Strategy to use for recommendations, either \"average_vector\" or \"best_score\". The default is \"average_vector\". The \"average_vector\" strategy will construct a single average vector from the positive and negative samples then use it to perform a pseudo-search. The \"best_score\" strategy is more advanced and navigates the HNSW with a heuristic of picking edges where the point is closer to the positive samples than it is the negatives.
/// Strategy to use for recommendations, either \"average_vector\" or \"best_score\". The default is \"average_vector\". The \"average_vector\" strategy will construct a single average vector from the positive and negative samples then use it to perform a pseudo-search. The \"best_score\" strategy is more advanced and navigates the HNSW with a heuristic of picking edges where the point is closer to the positive samples than it is the negatives.
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum RecommendationStrategy {
#[serde(rename = "average_vector")]
AverageVector,
#[serde(rename = "best_score")]
BestScore,
}
impl ToString for RecommendationStrategy {
fn to_string(&self) -> String {
match self {
Self::AverageVector => String::from("average_vector"),
Self::BestScore => String::from("best_score"),
}
}
}
impl Default for RecommendationStrategy {
fn default() -> RecommendationStrategy {
Self::AverageVector
}
}