#[non_exhaustive]pub struct Builder { /* private fields */ }
Expand description
A builder for GetEvaluationOutput
Implementations
sourceimpl Builder
impl Builder
sourcepub fn evaluation_id(self, input: impl Into<String>) -> Self
pub fn evaluation_id(self, input: impl Into<String>) -> Self
The evaluation ID which is same as the EvaluationId
in the request.
sourcepub fn set_evaluation_id(self, input: Option<String>) -> Self
pub fn set_evaluation_id(self, input: Option<String>) -> Self
The evaluation ID which is same as the EvaluationId
in the request.
sourcepub fn ml_model_id(self, input: impl Into<String>) -> Self
pub fn ml_model_id(self, input: impl Into<String>) -> Self
The ID of the MLModel
that was the focus of the evaluation.
sourcepub fn set_ml_model_id(self, input: Option<String>) -> Self
pub fn set_ml_model_id(self, input: Option<String>) -> Self
The ID of the MLModel
that was the focus of the evaluation.
sourcepub fn evaluation_data_source_id(self, input: impl Into<String>) -> Self
pub fn evaluation_data_source_id(self, input: impl Into<String>) -> Self
The DataSource
used for this evaluation.
sourcepub fn set_evaluation_data_source_id(self, input: Option<String>) -> Self
pub fn set_evaluation_data_source_id(self, input: Option<String>) -> Self
The DataSource
used for this evaluation.
sourcepub fn input_data_location_s3(self, input: impl Into<String>) -> Self
pub fn input_data_location_s3(self, input: impl Into<String>) -> Self
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
sourcepub fn set_input_data_location_s3(self, input: Option<String>) -> Self
pub fn set_input_data_location_s3(self, input: Option<String>) -> Self
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
sourcepub fn created_by_iam_user(self, input: impl Into<String>) -> Self
pub fn created_by_iam_user(self, input: impl Into<String>) -> Self
The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.
sourcepub fn set_created_by_iam_user(self, input: Option<String>) -> Self
pub fn set_created_by_iam_user(self, input: Option<String>) -> Self
The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.
sourcepub fn created_at(self, input: DateTime) -> Self
pub fn created_at(self, input: DateTime) -> Self
The time that the Evaluation
was created. The time is expressed in epoch time.
sourcepub fn set_created_at(self, input: Option<DateTime>) -> Self
pub fn set_created_at(self, input: Option<DateTime>) -> Self
The time that the Evaluation
was created. The time is expressed in epoch time.
sourcepub fn last_updated_at(self, input: DateTime) -> Self
pub fn last_updated_at(self, input: DateTime) -> Self
The time of the most recent edit to the Evaluation
. The time is expressed in epoch time.
sourcepub fn set_last_updated_at(self, input: Option<DateTime>) -> Self
pub fn set_last_updated_at(self, input: Option<DateTime>) -> Self
The time of the most recent edit to the Evaluation
. The time is expressed in epoch time.
sourcepub fn name(self, input: impl Into<String>) -> Self
pub fn name(self, input: impl Into<String>) -> Self
A user-supplied name or description of the Evaluation
.
sourcepub fn set_name(self, input: Option<String>) -> Self
pub fn set_name(self, input: Option<String>) -> Self
A user-supplied name or description of the Evaluation
.
sourcepub fn status(self, input: EntityStatus) -> Self
pub fn status(self, input: EntityStatus) -> Self
The status of the evaluation. This element can have one of the following values:
-
PENDING
- Amazon Machine Language (Amazon ML) submitted a request to evaluate anMLModel
. -
INPROGRESS
- The evaluation is underway. -
FAILED
- The request to evaluate anMLModel
did not run to completion. It is not usable. -
COMPLETED
- The evaluation process completed successfully. -
DELETED
- TheEvaluation
is marked as deleted. It is not usable.
sourcepub fn set_status(self, input: Option<EntityStatus>) -> Self
pub fn set_status(self, input: Option<EntityStatus>) -> Self
The status of the evaluation. This element can have one of the following values:
-
PENDING
- Amazon Machine Language (Amazon ML) submitted a request to evaluate anMLModel
. -
INPROGRESS
- The evaluation is underway. -
FAILED
- The request to evaluate anMLModel
did not run to completion. It is not usable. -
COMPLETED
- The evaluation process completed successfully. -
DELETED
- TheEvaluation
is marked as deleted. It is not usable.
sourcepub fn performance_metrics(self, input: PerformanceMetrics) -> Self
pub fn performance_metrics(self, input: PerformanceMetrics) -> Self
Measurements of how well the MLModel
performed using observations referenced by the DataSource
. One of the following metric is returned based on the type of the MLModel
:
-
BinaryAUC: A binary
MLModel
uses the Area Under the Curve (AUC) technique to measure performance. -
RegressionRMSE: A regression
MLModel
uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable. -
MulticlassAvgFScore: A multiclass
MLModel
uses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
sourcepub fn set_performance_metrics(self, input: Option<PerformanceMetrics>) -> Self
pub fn set_performance_metrics(self, input: Option<PerformanceMetrics>) -> Self
Measurements of how well the MLModel
performed using observations referenced by the DataSource
. One of the following metric is returned based on the type of the MLModel
:
-
BinaryAUC: A binary
MLModel
uses the Area Under the Curve (AUC) technique to measure performance. -
RegressionRMSE: A regression
MLModel
uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable. -
MulticlassAvgFScore: A multiclass
MLModel
uses the F1 score technique to measure performance.
For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
sourcepub fn log_uri(self, input: impl Into<String>) -> Self
pub fn log_uri(self, input: impl Into<String>) -> Self
A link to the file that contains logs of the CreateEvaluation
operation.
sourcepub fn set_log_uri(self, input: Option<String>) -> Self
pub fn set_log_uri(self, input: Option<String>) -> Self
A link to the file that contains logs of the CreateEvaluation
operation.
sourcepub fn message(self, input: impl Into<String>) -> Self
pub fn message(self, input: impl Into<String>) -> Self
A description of the most recent details about evaluating the MLModel
.
sourcepub fn set_message(self, input: Option<String>) -> Self
pub fn set_message(self, input: Option<String>) -> Self
A description of the most recent details about evaluating the MLModel
.
sourcepub fn compute_time(self, input: i64) -> Self
pub fn compute_time(self, input: i64) -> Self
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation
, normalized and scaled on computation resources. ComputeTime
is only available if the Evaluation
is in the COMPLETED
state.
sourcepub fn set_compute_time(self, input: Option<i64>) -> Self
pub fn set_compute_time(self, input: Option<i64>) -> Self
The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the Evaluation
, normalized and scaled on computation resources. ComputeTime
is only available if the Evaluation
is in the COMPLETED
state.
sourcepub fn finished_at(self, input: DateTime) -> Self
pub fn finished_at(self, input: DateTime) -> Self
The epoch time when Amazon Machine Learning marked the Evaluation
as COMPLETED
or FAILED
. FinishedAt
is only available when the Evaluation
is in the COMPLETED
or FAILED
state.
sourcepub fn set_finished_at(self, input: Option<DateTime>) -> Self
pub fn set_finished_at(self, input: Option<DateTime>) -> Self
The epoch time when Amazon Machine Learning marked the Evaluation
as COMPLETED
or FAILED
. FinishedAt
is only available when the Evaluation
is in the COMPLETED
or FAILED
state.
sourcepub fn started_at(self, input: DateTime) -> Self
pub fn started_at(self, input: DateTime) -> Self
The epoch time when Amazon Machine Learning marked the Evaluation
as INPROGRESS
. StartedAt
isn't available if the Evaluation
is in the PENDING
state.
sourcepub fn set_started_at(self, input: Option<DateTime>) -> Self
pub fn set_started_at(self, input: Option<DateTime>) -> Self
The epoch time when Amazon Machine Learning marked the Evaluation
as INPROGRESS
. StartedAt
isn't available if the Evaluation
is in the PENDING
state.
sourcepub fn build(self) -> GetEvaluationOutput
pub fn build(self) -> GetEvaluationOutput
Consumes the builder and constructs a GetEvaluationOutput
Trait Implementations
impl StructuralPartialEq for Builder
Auto Trait Implementations
impl RefUnwindSafe for Builder
impl Send for Builder
impl Sync for Builder
impl Unpin for Builder
impl UnwindSafe for Builder
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more