Amazon Comprehend · Schema
ClassifierMetadata
Provides information about a document classifier.
Machine LearningNatural Language ProcessingNLPText Analysis
Properties
| Name | Type | Description |
|---|---|---|
| NumberOfLabels | object | |
| NumberOfTrainedDocuments | object | |
| NumberOfTestDocuments | object | |
| EvaluationMetrics | object |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://raw.githubusercontent.com/api-evangelist/amazon-comprehend/refs/heads/main/json-schema/openapi.yml-classifier-metadata-schema.json",
"title": "ClassifierMetadata",
"description": "Provides information about a document classifier.",
"type": "object",
"properties": {
"NumberOfLabels": {
"allOf": [
{
"$ref": "#/components/schemas/Integer"
},
{
"description": "The number of labels in the input data. "
}
]
},
"NumberOfTrainedDocuments": {
"allOf": [
{
"$ref": "#/components/schemas/Integer"
},
{
"description": "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."
}
]
},
"NumberOfTestDocuments": {
"allOf": [
{
"$ref": "#/components/schemas/Integer"
},
{
"description": "The number of documents in the input data that were used to test the classifier. Typically this is 10 to 20 percent of the input documents, up to 10,000 documents."
}
]
},
"EvaluationMetrics": {
"allOf": [
{
"$ref": "#/components/schemas/ClassifierEvaluationMetrics"
},
{
"description": " Describes the result metrics for the test data associated with an documentation classifier."
}
]
}
}
}