Struct rusoto_glue::FindMatchesMetrics
source · [−]pub struct FindMatchesMetrics {
pub area_under_pr_curve: Option<f64>,
pub column_importances: Option<Vec<ColumnImportance>>,
pub confusion_matrix: Option<ConfusionMatrix>,
pub f1: Option<f64>,
pub precision: Option<f64>,
pub recall: Option<f64>,
}
Expand description
The evaluation metrics for the find matches algorithm. The quality of your machine learning transform is measured by getting your transform to predict some matches and comparing the results to known matches from the same dataset. The quality metrics are based on a subset of your data, so they are not precise.
Fields
area_under_pr_curve: Option<f64>
The area under the precision/recall curve (AUPRC) is a single number measuring the overall quality of the transform, that is independent of the choice made for precision vs. recall. Higher values indicate that you have a more attractive precision vs. recall tradeoff.
For more information, see Precision and recall in Wikipedia.
column_importances: Option<Vec<ColumnImportance>>
A list of ColumnImportance
structures containing column importance metrics, sorted in order of descending importance.
confusion_matrix: Option<ConfusionMatrix>
The confusion matrix shows you what your transform is predicting accurately and what types of errors it is making.
For more information, see Confusion matrix in Wikipedia.
f1: Option<f64>
The maximum F1 metric indicates the transform's accuracy between 0 and 1, where 1 is the best accuracy.
For more information, see F1 score in Wikipedia.
precision: Option<f64>
The precision metric indicates when often your transform is correct when it predicts a match. Specifically, it measures how well the transform finds true positives from the total true positives possible.
For more information, see Precision and recall in Wikipedia.
recall: Option<f64>
The recall metric indicates that for an actual match, how often your transform predicts the match. Specifically, it measures how well the transform finds true positives from the total records in the source data.
For more information, see Precision and recall in Wikipedia.
Trait Implementations
sourceimpl Clone for FindMatchesMetrics
impl Clone for FindMatchesMetrics
sourcefn clone(&self) -> FindMatchesMetrics
fn clone(&self) -> FindMatchesMetrics
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl Debug for FindMatchesMetrics
impl Debug for FindMatchesMetrics
sourceimpl Default for FindMatchesMetrics
impl Default for FindMatchesMetrics
sourcefn default() -> FindMatchesMetrics
fn default() -> FindMatchesMetrics
Returns the “default value” for a type. Read more
sourceimpl<'de> Deserialize<'de> for FindMatchesMetrics
impl<'de> Deserialize<'de> for FindMatchesMetrics
sourcefn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
sourceimpl PartialEq<FindMatchesMetrics> for FindMatchesMetrics
impl PartialEq<FindMatchesMetrics> for FindMatchesMetrics
sourcefn eq(&self, other: &FindMatchesMetrics) -> bool
fn eq(&self, other: &FindMatchesMetrics) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &FindMatchesMetrics) -> bool
fn ne(&self, other: &FindMatchesMetrics) -> bool
This method tests for !=
.
impl StructuralPartialEq for FindMatchesMetrics
Auto Trait Implementations
impl RefUnwindSafe for FindMatchesMetrics
impl Send for FindMatchesMetrics
impl Sync for FindMatchesMetrics
impl Unpin for FindMatchesMetrics
impl UnwindSafe for FindMatchesMetrics
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
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.
sourcefn clone_into(&self, target: &mut T)
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