opensearch-client 0.3.1

Strongly typed OpenSearch Client
Documentation 
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/*
 * opensearch-client
 *
 * Rust Client for OpenSearch
 *
 * The version of the OpenAPI document: 3.1.0
 * Contact: alberto.paro@gmail.com
 * Generated by Paro OpenAPI Generator
 */

use crate::ml;
use crate::common;
use serde::{Deserialize, Serialize};




#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct ModelProfile {  /// The predictor.
    #[serde(rename = "predictor", default, skip_serializing_if = "Option::is_none")]
    pub predictor: Option<String>,
    #[serde(rename = "train", default, skip_serializing_if = "Option::is_none")]
    pub train: Option<ml::ModelStats>,  /// The model state.
    #[serde(rename = "model_state", default, skip_serializing_if = "Option::is_none")]
    pub model_state: Option<String>,
    #[serde(rename = "undeploy", default, skip_serializing_if = "Option::is_none")]
    pub undeploy: Option<ml::ModelStats>,
    #[serde(rename = "register", default, skip_serializing_if = "Option::is_none")]
    pub register: Option<ml::ModelStats>,
    #[serde(rename = "predict", default, skip_serializing_if = "Option::is_none")]
    pub predict: Option<ml::ModelStats>,  /// The estimated memory size in CPU.
    #[serde(rename = "memory_size_estimation_cpu", default, skip_serializing_if = "Option::is_none")]
    pub memory_size_estimation_cpu: Option<u32>,
    #[serde(rename = "deploy", default, skip_serializing_if = "Option::is_none")]
    pub deploy: Option<ml::ModelStats>,
    #[serde(rename = "target_worker_nodes", default, skip_serializing_if = "Option::is_none")]
    pub target_worker_nodes: Option<Vec<common::NodeIds>>,
    #[serde(rename = "train_predict", default, skip_serializing_if = "Option::is_none")]
    pub train_predict: Option<ml::ModelStats>,
    #[serde(rename = "predict_request_stats", default, skip_serializing_if = "Option::is_none")]
    pub predict_request_stats: Option<ml::PredictRequestStats>,
    #[serde(rename = "execute", default, skip_serializing_if = "Option::is_none")]
    pub execute: Option<ml::ModelStats>,
    #[serde(rename = "worker_nodes", default, skip_serializing_if = "Option::is_none")]
    pub worker_nodes: Option<Vec<common::NodeIds>>,  /// The estimated memory size in GPU.
    #[serde(rename = "memory_size_estimation_gpu", default, skip_serializing_if = "Option::is_none")]
    pub memory_size_estimation_gpu: Option<u32>,
}

impl ModelProfile {
    
    pub fn new() -> ModelProfile {
        ModelProfile {
            predictor: None,
            train: None,
            model_state: None,
            undeploy: None,
            register: None,
            predict: None,
            memory_size_estimation_cpu: None,
            deploy: None,
            target_worker_nodes: None,
            train_predict: None,
            predict_request_stats: None,
            execute: None,
            worker_nodes: None,
            memory_size_estimation_gpu: None,
        }
    }
}