use crate::ml;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct PredictRequestBodyJson { #[serde(rename = "return_number", default, skip_serializing_if = "Option::is_none")]
pub return_number: Option<bool>,
#[serde(rename = "input_query", default, skip_serializing_if = "Option::is_none")]
pub input_query: Option<ml::InputQuery>, #[serde(rename = "target_response", default, skip_serializing_if = "Option::is_none")]
pub target_response: Option<Vec<String>>, #[serde(rename = "text_docs", default, skip_serializing_if = "Option::is_none")]
pub text_docs: Option<Vec<String>>, #[serde(rename = "input_index", default, skip_serializing_if = "Option::is_none")]
pub input_index: Option<Vec<String>>,
}
impl PredictRequestBodyJson {
pub fn new() -> PredictRequestBodyJson {
PredictRequestBodyJson {
return_number: None,
input_query: None,
target_response: None,
text_docs: None,
input_index: None,
}
}
}