[][src]Struct rusoto_sagemaker::MetricDefinition

pub struct MetricDefinition {
    pub name: String,
    pub regex: String,
}

Specifies a metric that the training algorithm writes to stderr or stdout. Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.

Fields

name: String

The name of the metric.

regex: String

A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

Trait Implementations

impl PartialEq<MetricDefinition> for MetricDefinition[src]

impl Default for MetricDefinition[src]

impl Clone for MetricDefinition[src]

fn clone_from(&mut self, source: &Self)
1.0.0
[src]

Performs copy-assignment from source. Read more

impl Debug for MetricDefinition[src]

impl<'de> Deserialize<'de> for MetricDefinition[src]

impl Serialize for MetricDefinition[src]

Auto Trait Implementations

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impl<T, U> Into for T where
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impl<T> ToOwned for T where
    T: Clone
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type Owned = T

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    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T> Borrow for T where
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    T: ?Sized
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impl<T, U> TryInto for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> DeserializeOwned for T where
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Should always be Self