List Document Classifiers

comprehend_list_document_classifiers

R Documentation

Gets a list of the document classifiers that you have created

Description

Gets a list of the document classifiers that you have created.

Usage

comprehend_list_document_classifiers(Filter, NextToken, MaxResults)

Arguments

Filter

Filters the jobs that are returned. You can filter jobs on their name, status, or the date and time that they were submitted. You can only set one filter at a time.

NextToken

Identifies the next page of results to return.

MaxResults

The maximum number of results to return in each page. The default is 100.

Value

A list with the following syntax:

list(
  DocumentClassifierPropertiesList = list(
    list(
      DocumentClassifierArn = "string",
      LanguageCode = "en"|"es"|"fr"|"de"|"it"|"pt"|"ar"|"hi"|"ja"|"ko"|"zh"|"zh-TW",
      Status = "SUBMITTED"|"TRAINING"|"DELETING"|"STOP_REQUESTED"|"STOPPED"|"IN_ERROR"|"TRAINED"|"TRAINED_WITH_WARNING",
      Message = "string",
      SubmitTime = as.POSIXct(
        "2015-01-01"
      ),
      EndTime = as.POSIXct(
        "2015-01-01"
      ),
      TrainingStartTime = as.POSIXct(
        "2015-01-01"
      ),
      TrainingEndTime = as.POSIXct(
        "2015-01-01"
      ),
      InputDataConfig = list(
        DataFormat = "COMPREHEND_CSV"|"AUGMENTED_MANIFEST",
        S3Uri = "string",
        TestS3Uri = "string",
        LabelDelimiter = "string",
        AugmentedManifests = list(
          list(
            S3Uri = "string",
            Split = "TRAIN"|"TEST",
            AttributeNames = list(
              "string"
            ),
            AnnotationDataS3Uri = "string",
            SourceDocumentsS3Uri = "string",
            DocumentType = "PLAIN_TEXT_DOCUMENT"|"SEMI_STRUCTURED_DOCUMENT"
          )
        ),
        DocumentType = "PLAIN_TEXT_DOCUMENT"|"SEMI_STRUCTURED_DOCUMENT",
        Documents = list(
          S3Uri = "string",
          TestS3Uri = "string"
        ),
        DocumentReaderConfig = list(
          DocumentReadAction = "TEXTRACT_DETECT_DOCUMENT_TEXT"|"TEXTRACT_ANALYZE_DOCUMENT",
          DocumentReadMode = "SERVICE_DEFAULT"|"FORCE_DOCUMENT_READ_ACTION",
          FeatureTypes = list(
            "TABLES"|"FORMS"
          )
        )
      ),
      OutputDataConfig = list(
        S3Uri = "string",
        KmsKeyId = "string",
        FlywheelStatsS3Prefix = "string"
      ),
      ClassifierMetadata = list(
        NumberOfLabels = 123,
        NumberOfTrainedDocuments = 123,
        NumberOfTestDocuments = 123,
        EvaluationMetrics = list(
          Accuracy = 123.0,
          Precision = 123.0,
          Recall = 123.0,
          F1Score = 123.0,
          MicroPrecision = 123.0,
          MicroRecall = 123.0,
          MicroF1Score = 123.0,
          HammingLoss = 123.0
        )
      ),
      DataAccessRoleArn = "string",
      VolumeKmsKeyId = "string",
      VpcConfig = list(
        SecurityGroupIds = list(
          "string"
        ),
        Subnets = list(
          "string"
        )
      ),
      Mode = "MULTI_CLASS"|"MULTI_LABEL",
      ModelKmsKeyId = "string",
      VersionName = "string",
      SourceModelArn = "string",
      FlywheelArn = "string"
    )
  ),
  NextToken = "string"
)

Request syntax

svc$list_document_classifiers(
  Filter = list(
    Status = "SUBMITTED"|"TRAINING"|"DELETING"|"STOP_REQUESTED"|"STOPPED"|"IN_ERROR"|"TRAINED"|"TRAINED_WITH_WARNING",
    DocumentClassifierName = "string",
    SubmitTimeBefore = as.POSIXct(
      "2015-01-01"
    ),
    SubmitTimeAfter = as.POSIXct(
      "2015-01-01"
    )
  ),
  NextToken = "string",
  MaxResults = 123
)