Specifies the Amazon S3 location where the training documents for an entity recognizer are located. The URI must be in the same Region as the API endpoint that you are calling.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_EntityRecognizerInputDataConfig_Annotations_S3Uri |
Amazon.PowerShell.Cmdlets.COMP.AmazonComprehendClientCmdlet.ClientConfig
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Name of the dataset.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Description of the dataset.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-DocumentClassifierInputDataConfig_LabelDelimiter <
String>
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? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_DocumentClassifierInputDataConfig_LabelDelimiter |
-DocumentClassifierInputDataConfig_S3Uri <
String>
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.For example, if you use the URI S3://bucketName/prefix, 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.This parameter is required if you set DataFormat to COMPREHEND_CSV.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_DocumentClassifierInputDataConfig_S3Uri |
Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers. ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_EntityRecognizerInputDataConfig_Documents_InputFormat |
Specifies the Amazon S3 location where the documents for the dataset are located.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_EntityRecognizerInputDataConfig_Documents_S3Uri |
Specifies the Amazon S3 location where the entity list is located.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_EntityRecognizerInputDataConfig_EntityList_S3Uri |
The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.
Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_AugmentedManifests |
COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.AUGMENTED_MANIFEST: The data format
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Use the -Select parameter to control the cmdlet output. The default value is 'DatasetArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.Comprehend.Model.CreateDatasetResponse). Specifying the name of a property of type Amazon.Comprehend.Model.CreateDatasetResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Tags for the dataset. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Tags |