Struct ClassifierMetadata 

pub struct ClassifierMetadata {
    pub evaluation_metrics: Option<ClassifierEvaluationMetrics>,
    pub number_of_labels: Option<i64>,
    pub number_of_test_documents: Option<i64>,
    pub number_of_trained_documents: Option<i64>,
}

Provides information about a document classifier.

Fields

evaluation_metrics: Option<ClassifierEvaluationMetrics>

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

number_of_labels: Option<i64>

The number of labels in the input data.

number_of_test_documents: Option<i64>

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.

number_of_trained_documents: Option<i64>

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.

Trait Implementations

impl Clone for ClassifierMetadata

fn clone(&self) -> ClassifierMetadata

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassifierMetadata

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

Formats the value using the given formatter.

impl Default for ClassifierMetadata

fn default() -> ClassifierMetadata

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ClassifierMetadata

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ClassifierMetadata

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

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

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 ClassifierMetadata