aws_sdk_machinelearning/operation/predict/
_predict_output.rs

1// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
2#[allow(missing_docs)] // documentation missing in model
3#[non_exhaustive]
4#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::fmt::Debug)]
5pub struct PredictOutput {
6    /// <p>The output from a <code>Predict</code> operation:</p>
7    /// <ul>
8    /// <li>
9    /// <p><code>Details</code> - Contains the following attributes: <code>DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS</code> <code>DetailsAttributes.ALGORITHM - SGD</code></p></li>
10    /// <li>
11    /// <p><code>PredictedLabel</code> - Present for either a <code>BINARY</code> or <code>MULTICLASS</code> <code>MLModel</code> request.</p></li>
12    /// <li>
13    /// <p><code>PredictedScores</code> - Contains the raw classification score corresponding to each label.</p></li>
14    /// <li>
15    /// <p><code>PredictedValue</code> - Present for a <code>REGRESSION</code> <code>MLModel</code> request.</p></li>
16    /// </ul>
17    pub prediction: ::std::option::Option<crate::types::Prediction>,
18    _request_id: Option<String>,
19}
20impl PredictOutput {
21    /// <p>The output from a <code>Predict</code> operation:</p>
22    /// <ul>
23    /// <li>
24    /// <p><code>Details</code> - Contains the following attributes: <code>DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS</code> <code>DetailsAttributes.ALGORITHM - SGD</code></p></li>
25    /// <li>
26    /// <p><code>PredictedLabel</code> - Present for either a <code>BINARY</code> or <code>MULTICLASS</code> <code>MLModel</code> request.</p></li>
27    /// <li>
28    /// <p><code>PredictedScores</code> - Contains the raw classification score corresponding to each label.</p></li>
29    /// <li>
30    /// <p><code>PredictedValue</code> - Present for a <code>REGRESSION</code> <code>MLModel</code> request.</p></li>
31    /// </ul>
32    pub fn prediction(&self) -> ::std::option::Option<&crate::types::Prediction> {
33        self.prediction.as_ref()
34    }
35}
36impl ::aws_types::request_id::RequestId for PredictOutput {
37    fn request_id(&self) -> Option<&str> {
38        self._request_id.as_deref()
39    }
40}
41impl PredictOutput {
42    /// Creates a new builder-style object to manufacture [`PredictOutput`](crate::operation::predict::PredictOutput).
43    pub fn builder() -> crate::operation::predict::builders::PredictOutputBuilder {
44        crate::operation::predict::builders::PredictOutputBuilder::default()
45    }
46}
47
48/// A builder for [`PredictOutput`](crate::operation::predict::PredictOutput).
49#[derive(::std::clone::Clone, ::std::cmp::PartialEq, ::std::default::Default, ::std::fmt::Debug)]
50#[non_exhaustive]
51pub struct PredictOutputBuilder {
52    pub(crate) prediction: ::std::option::Option<crate::types::Prediction>,
53    _request_id: Option<String>,
54}
55impl PredictOutputBuilder {
56    /// <p>The output from a <code>Predict</code> operation:</p>
57    /// <ul>
58    /// <li>
59    /// <p><code>Details</code> - Contains the following attributes: <code>DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS</code> <code>DetailsAttributes.ALGORITHM - SGD</code></p></li>
60    /// <li>
61    /// <p><code>PredictedLabel</code> - Present for either a <code>BINARY</code> or <code>MULTICLASS</code> <code>MLModel</code> request.</p></li>
62    /// <li>
63    /// <p><code>PredictedScores</code> - Contains the raw classification score corresponding to each label.</p></li>
64    /// <li>
65    /// <p><code>PredictedValue</code> - Present for a <code>REGRESSION</code> <code>MLModel</code> request.</p></li>
66    /// </ul>
67    pub fn prediction(mut self, input: crate::types::Prediction) -> Self {
68        self.prediction = ::std::option::Option::Some(input);
69        self
70    }
71    /// <p>The output from a <code>Predict</code> operation:</p>
72    /// <ul>
73    /// <li>
74    /// <p><code>Details</code> - Contains the following attributes: <code>DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS</code> <code>DetailsAttributes.ALGORITHM - SGD</code></p></li>
75    /// <li>
76    /// <p><code>PredictedLabel</code> - Present for either a <code>BINARY</code> or <code>MULTICLASS</code> <code>MLModel</code> request.</p></li>
77    /// <li>
78    /// <p><code>PredictedScores</code> - Contains the raw classification score corresponding to each label.</p></li>
79    /// <li>
80    /// <p><code>PredictedValue</code> - Present for a <code>REGRESSION</code> <code>MLModel</code> request.</p></li>
81    /// </ul>
82    pub fn set_prediction(mut self, input: ::std::option::Option<crate::types::Prediction>) -> Self {
83        self.prediction = input;
84        self
85    }
86    /// <p>The output from a <code>Predict</code> operation:</p>
87    /// <ul>
88    /// <li>
89    /// <p><code>Details</code> - Contains the following attributes: <code>DetailsAttributes.PREDICTIVE_MODEL_TYPE - REGRESSION | BINARY | MULTICLASS</code> <code>DetailsAttributes.ALGORITHM - SGD</code></p></li>
90    /// <li>
91    /// <p><code>PredictedLabel</code> - Present for either a <code>BINARY</code> or <code>MULTICLASS</code> <code>MLModel</code> request.</p></li>
92    /// <li>
93    /// <p><code>PredictedScores</code> - Contains the raw classification score corresponding to each label.</p></li>
94    /// <li>
95    /// <p><code>PredictedValue</code> - Present for a <code>REGRESSION</code> <code>MLModel</code> request.</p></li>
96    /// </ul>
97    pub fn get_prediction(&self) -> &::std::option::Option<crate::types::Prediction> {
98        &self.prediction
99    }
100    pub(crate) fn _request_id(mut self, request_id: impl Into<String>) -> Self {
101        self._request_id = Some(request_id.into());
102        self
103    }
104
105    pub(crate) fn _set_request_id(&mut self, request_id: Option<String>) -> &mut Self {
106        self._request_id = request_id;
107        self
108    }
109    /// Consumes the builder and constructs a [`PredictOutput`](crate::operation::predict::PredictOutput).
110    pub fn build(self) -> crate::operation::predict::PredictOutput {
111        crate::operation::predict::PredictOutput {
112            prediction: self.prediction,
113            _request_id: self._request_id,
114        }
115    }
116}
aws_sdk_machinelearning/operation/predict/_predict_output.rs

aws_sdk_machinelearning/operation/predict/
_predict_output.rs
