sagemaker_create_workforce: Use this operation to create a workforce
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

sagemaker_create_workforce

R Documentation

Use this operation to create a workforce

Description

Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.

See https://www.paws-r-sdk.com/docs/sagemaker_create_workforce/ for full documentation.

Usage

sagemaker_create_workforce(
  CognitoConfig = NULL,
  OidcConfig = NULL,
  SourceIpConfig = NULL,
  WorkforceName,
  Tags = NULL,
  WorkforceVpcConfig = NULL,
  IpAddressType = NULL
)

Arguments

`CognitoConfig`	Use this parameter to configure an Amazon Cognito private workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool. Do not use `OidcConfig` if you specify values for `CognitoConfig`.
`OidcConfig`	Use this parameter to configure a private workforce using your own OIDC Identity Provider. Do not use `CognitoConfig` if you specify values for `OidcConfig`.
`SourceIpConfig`	A list of IP address ranges (CIDRs). Used to create an allow list of IP addresses for a private workforce. Workers will only be able to log in to their worker portal from an IP address within this range. By default, a workforce isn't restricted to specific IP addresses.
`WorkforceName`	[required] The name of the private workforce.
`Tags`	An array of key-value pairs that contain metadata to help you categorize and organize our workforce. Each tag consists of a key and a value, both of which you define.
`WorkforceVpcConfig`	Use this parameter to configure a workforce using VPC.
`IpAddressType`	Use this parameter to specify whether you want `IPv4` only or `dualstack` (`IPv4` and `IPv6`) to support your labeling workforce.