opensearch_client/ml/
model_profile.rs

1/*
2 * opensearch-client
3 *
4 * Rust Client for OpenSearch
5 *
6 * The version of the OpenAPI document: 3.1.0
7 * Contact: alberto.paro@gmail.com
8 * Generated by Paro OpenAPI Generator
9 */
10
11use crate::ml;
12use crate::common;
13use serde::{Deserialize, Serialize};
14
15
16
17
18#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
19pub struct ModelProfile {  /// The predictor.
20    #[serde(rename = "predictor", default, skip_serializing_if = "Option::is_none")]
21    pub predictor: Option<String>,
22    #[serde(rename = "train", default, skip_serializing_if = "Option::is_none")]
23    pub train: Option<ml::ModelStats>,  /// The model state.
24    #[serde(rename = "model_state", default, skip_serializing_if = "Option::is_none")]
25    pub model_state: Option<String>,
26    #[serde(rename = "undeploy", default, skip_serializing_if = "Option::is_none")]
27    pub undeploy: Option<ml::ModelStats>,
28    #[serde(rename = "register", default, skip_serializing_if = "Option::is_none")]
29    pub register: Option<ml::ModelStats>,
30    #[serde(rename = "predict", default, skip_serializing_if = "Option::is_none")]
31    pub predict: Option<ml::ModelStats>,  /// The estimated memory size in CPU.
32    #[serde(rename = "memory_size_estimation_cpu", default, skip_serializing_if = "Option::is_none")]
33    pub memory_size_estimation_cpu: Option<u32>,
34    #[serde(rename = "deploy", default, skip_serializing_if = "Option::is_none")]
35    pub deploy: Option<ml::ModelStats>,
36    #[serde(rename = "target_worker_nodes", default, skip_serializing_if = "Option::is_none")]
37    pub target_worker_nodes: Option<Vec<common::NodeIds>>,
38    #[serde(rename = "train_predict", default, skip_serializing_if = "Option::is_none")]
39    pub train_predict: Option<ml::ModelStats>,
40    #[serde(rename = "predict_request_stats", default, skip_serializing_if = "Option::is_none")]
41    pub predict_request_stats: Option<ml::PredictRequestStats>,
42    #[serde(rename = "execute", default, skip_serializing_if = "Option::is_none")]
43    pub execute: Option<ml::ModelStats>,
44    #[serde(rename = "worker_nodes", default, skip_serializing_if = "Option::is_none")]
45    pub worker_nodes: Option<Vec<common::NodeIds>>,  /// The estimated memory size in GPU.
46    #[serde(rename = "memory_size_estimation_gpu", default, skip_serializing_if = "Option::is_none")]
47    pub memory_size_estimation_gpu: Option<u32>,
48}
49
50impl ModelProfile {
51    
52    pub fn new() -> ModelProfile {
53        ModelProfile {
54            predictor: None,
55            train: None,
56            model_state: None,
57            undeploy: None,
58            register: None,
59            predict: None,
60            memory_size_estimation_cpu: None,
61            deploy: None,
62            target_worker_nodes: None,
63            train_predict: None,
64            predict_request_stats: None,
65            execute: None,
66            worker_nodes: None,
67            memory_size_estimation_gpu: None,
68        }
69    }
70}
opensearch_client/ml/model_profile.rs

opensearch_client/ml/
model_profile.rs
