[−][src]Struct rusoto_sagemaker::CreateAutoMLJobRequest
Fields
auto_ml_job_config: Option<AutoMLJobConfig>
Contains CompletionCriteria and SecurityConfig.
auto_ml_job_name: String
Identifies an AutoPilot job. Must be unique to your account and is case-insensitive.
auto_ml_job_objective: Option<AutoMLJobObjective>
Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.
generate_candidate_definitions_only: Option<bool>
This will generate possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
input_data_config: Vec<AutoMLChannel>
Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
output_data_config: AutoMLOutputDataConfig
Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
problem_type: Option<String>
Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.
role_arn: String
The ARN of the role that will be used to access the data.
Each tag consists of a key and an optional value. Tag keys must be unique per resource.
Trait Implementations
impl Clone for CreateAutoMLJobRequest
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pub fn clone(&self) -> CreateAutoMLJobRequest
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for CreateAutoMLJobRequest
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impl Default for CreateAutoMLJobRequest
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pub fn default() -> CreateAutoMLJobRequest
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impl PartialEq<CreateAutoMLJobRequest> for CreateAutoMLJobRequest
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pub fn eq(&self, other: &CreateAutoMLJobRequest) -> bool
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pub fn ne(&self, other: &CreateAutoMLJobRequest) -> bool
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impl Serialize for CreateAutoMLJobRequest
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pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
__S: Serializer,
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__S: Serializer,
impl StructuralPartialEq for CreateAutoMLJobRequest
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Auto Trait Implementations
impl RefUnwindSafe for CreateAutoMLJobRequest
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impl Send for CreateAutoMLJobRequest
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impl Sync for CreateAutoMLJobRequest
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impl Unpin for CreateAutoMLJobRequest
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impl UnwindSafe for CreateAutoMLJobRequest
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,