Struct ClassifierMetadataBuilder

#[non_exhaustive]
pub struct ClassifierMetadataBuilder { /* private fields */ }

A builder for ClassifierMetadata.

Implementations

impl ClassifierMetadataBuilder

pub fn number_of_labels(self, input: i32) -> Self

The number of labels in the input data.

pub fn set_number_of_labels(self, input: Option<i32>) -> Self

The number of labels in the input data.

pub fn get_number_of_labels(&self) -> &Option<i32>

The number of labels in the input data.

pub fn number_of_trained_documents(self, input: i32) -> Self

The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

pub fn set_number_of_trained_documents(self, input: Option<i32>) -> Self

The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

pub fn get_number_of_trained_documents(&self) -> &Option<i32>

The number of documents in the input data that were used to train the classifier. Typically this is 80 to 90 percent of the input documents.

pub fn number_of_test_documents(self, input: i32) -> Self

The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents, up to 10,000 documents.

pub fn set_number_of_test_documents(self, input: Option<i32>) -> Self

The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents, up to 10,000 documents.

pub fn get_number_of_test_documents(&self) -> &Option<i32>

The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents, up to 10,000 documents.

pub fn evaluation_metrics(self, input: ClassifierEvaluationMetrics) -> Self

Describes the result metrics for the test data associated with an documentation classifier.

pub fn set_evaluation_metrics( self, input: Option<ClassifierEvaluationMetrics>, ) -> Self

Describes the result metrics for the test data associated with an documentation classifier.

pub fn get_evaluation_metrics(&self) -> &Option<ClassifierEvaluationMetrics>

Describes the result metrics for the test data associated with an documentation classifier.

pub fn build(self) -> ClassifierMetadata

Consumes the builder and constructs a ClassifierMetadata.

Trait Implementations

impl Clone for ClassifierMetadataBuilder

fn clone(&self) -> ClassifierMetadataBuilder

Returns a duplicate of the value.

const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ClassifierMetadataBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ClassifierMetadataBuilder

fn default() -> ClassifierMetadataBuilder

Returns the “default value” for a type.

impl PartialEq for ClassifierMetadataBuilder

fn eq(&self, other: &ClassifierMetadataBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.

const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ClassifierMetadataBuilder