Amazon Comprehend · Schema
DatasetDocumentClassifierInputDataConfig
Describes the dataset input data configuration for a document classifier model.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
Machine-LearningNatural Language ProcessingNLPText Analysis
Properties
| Name | Type | Description |
|---|---|---|
| S3Uri | object | |
| LabelDelimiter | 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-dataset-document-classifier-input-data-config-schema.json",
"title": "DatasetDocumentClassifierInputDataConfig",
"description": "<p>Describes the dataset input data configuration for a document classifier model.</p> <p>For more information on how the input file is formatted, see <a href=\"https://docs.aws.amazon.com/comprehend/latest/dg/prep-classifier-data.html\">Preparing training data</a> in the Comprehend Developer Guide. </p>",
"type": "object",
"properties": {
"S3Uri": {
"allOf": [
{
"$ref": "#/components/schemas/S3Uri"
},
{
"description": "<p>The Amazon S3 URI for the input data. The S3 bucket must be in the same Region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files.</p> <p>For example, if you use the URI <code>S3://bucketName/prefix</code>, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.</p> <p>This parameter is required if you set <code>DataFormat</code> to <code>COMPREHEND_CSV</code>.</p>"
}
]
},
"LabelDelimiter": {
"allOf": [
{
"$ref": "#/components/schemas/LabelDelimiter"
},
{
"description": "Indicates the delimiter used to separate each label for training a multi-label classifier. The default delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an allowed character) by specifying it under Delimiter for labels. If the training documents use a delimiter other than the default or the delimiter you specify, the labels on that line will be combined to make a single unique label, such as LABELLABELLABEL."
}
]
}
},
"required": [
"S3Uri"
]
}
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