Struct aws_sdk_machinelearning::client::fluent_builders::Predict
source · pub struct Predict { /* private fields */ }
Expand description
Fluent builder constructing a request to Predict
.
Generates a prediction for the observation using the specified ML Model
.
Note: Not all response parameters will be populated. Whether a response parameter is populated depends on the type of model requested.
Implementations§
source§impl Predict
impl Predict
sourcepub async fn customize(
self
) -> Result<CustomizableOperation<Predict, AwsResponseRetryClassifier>, SdkError<PredictError>>
pub async fn customize(
self
) -> Result<CustomizableOperation<Predict, AwsResponseRetryClassifier>, SdkError<PredictError>>
Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.
sourcepub async fn send(self) -> Result<PredictOutput, SdkError<PredictError>>
pub async fn send(self) -> Result<PredictOutput, SdkError<PredictError>>
Sends the request and returns the response.
If an error occurs, an SdkError
will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
sourcepub fn ml_model_id(self, input: impl Into<String>) -> Self
pub fn ml_model_id(self, input: impl Into<String>) -> Self
A unique identifier of the MLModel
.
sourcepub fn set_ml_model_id(self, input: Option<String>) -> Self
pub fn set_ml_model_id(self, input: Option<String>) -> Self
A unique identifier of the MLModel
.
sourcepub fn record(self, k: impl Into<String>, v: impl Into<String>) -> Self
pub fn record(self, k: impl Into<String>, v: impl Into<String>) -> Self
Adds a key-value pair to Record
.
To override the contents of this collection use set_record
.
A map of variable name-value pairs that represent an observation.
sourcepub fn set_record(self, input: Option<HashMap<String, String>>) -> Self
pub fn set_record(self, input: Option<HashMap<String, String>>) -> Self
A map of variable name-value pairs that represent an observation.