Specifies the Amazon S3 location where the annotations 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_Annotations_S3Uri |
-Annotations_TestS3Uri <
String>
Specifies the Amazon S3 location where the test annotations 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_Annotations_TestS3Uri |
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) |
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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_Documents_InputFormat |
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_Documents_S3Uri |
Specifies the Amazon S3 location where the test documents for an entity recognizer are located. The URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_Documents_TestS3Uri |
Specifies the Amazon S3 location where the entity list is 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_EntityList_S3Uri |
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.This parameter is required if you set DataFormat
to AUGMENTED_MANIFEST
.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_AugmentedManifests |
The format of your training data:
COMPREHEND_CSV
: A CSV file that supplements your training documents. The CSV file contains information about the custom entities that your trained model will detect. The required format of the file depends on whether you are providing annotations or an entity list.If you use this value, you must provide your CSV file by using either the Annotations
or EntityList
parameters. You must provide your training documents by using the Documents
parameter.AUGMENTED_MANIFEST
: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This file is in JSON lines format. Each line is a complete JSON object that contains a training document and its labels. Each label annotates a named entity in the training document. If you use this value, you must provide the AugmentedManifests
parameter in your request.
If you don't specify a value, Amazon Comprehend uses
COMPREHEND_CSV
as the default.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The entity types in the labeled training data that Amazon Comprehend uses to train the custom entity recognizer. Any entity types that you don't specify are ignored.A maximum of 25 entity types can be used at one time to train an entity recognizer. Entity types must not contain the following invalid characters: \n (line break), \\n (escaped line break), \r (carriage return), \\r (escaped carriage return), \t (tab), \\t (escaped tab), space, and , (comma).
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | InputDataConfig_EntityTypes |
You can specify any of the following languages: English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), German ("de"), or Portuguese ("pt"). If you plan to use this entity recognizer with PDF, Word, or image input files, you must specify English as the language. All training documents must be in the same language.
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:
- KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
- Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The JSON resource-based policy to attach to your custom entity recognizer model. You can use this policy to allow another Amazon Web Services account to import your custom model.Provide your JSON as a UTF-8 encoded string without line breaks. To provide valid JSON for your policy, enclose the attribute names and values in double quotes. If the JSON body is also enclosed in double quotes, then you must escape the double quotes that are inside the policy:"{\"attribute\": \"value\", \"attribute\": [\"value\"]}"
To avoid escaping quotes, you can use single quotes to enclose the policy and double quotes to enclose the JSON names and values:'{"attribute": "value", "attribute": ["value"]}'
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Changes the cmdlet behavior to return the value passed to the RecognizerName parameter. The -PassThru parameter is deprecated, use -Select '^RecognizerName' instead. This parameter will be removed in a future version.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/Region.
Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Use the -Select parameter to control the cmdlet output. The default value is 'EntityRecognizerArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.Comprehend.Model.CreateEntityRecognizerResponse). Specifying the name of a property of type Amazon.Comprehend.Model.CreateEntityRecognizerResponse 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 to associate with the entity recognizer. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Tags |
The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/Region.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
- KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
- Amazon Resource Name (ARN) of a KMS Key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see
Security Groups for your VPC.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | VpcConfig_SecurityGroupIds |
The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s Region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see
VPCs and Subnets.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | VpcConfig_Subnets |