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[ aws . cleanroomsml ]
get-ml-input-channel
--ml-input-channel-arn <value>
--membership-identifier <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
--ml-input-channel-arn
(string)
The Amazon Resource Name (ARN) of the ML input channel that you want to get.
--membership-identifier
(string)
The membership ID of the membership that contains the ML input channel that you want to get.
--cli-input-json
(string)
Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command's default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
createTime -> (timestamp)
The time at which the ML input channel was created.
updateTime -> (timestamp)
The most recent time at which the ML input channel was updated.
membershipIdentifier -> (string)
The membership ID of the membership that contains the ML input channel.
collaborationIdentifier -> (string)
The collaboration ID of the collaboration that contains the ML input channel.
inputChannel -> (structure)
The input channel that was used to create the ML input channel.
dataSource -> (tagged union structure)
The data source that is used to create the ML input channel.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:protectedQueryInputParameters
.protectedQueryInputParameters -> (structure)
Provides information necessary to perform the protected query.
sqlParameters -> (structure)
The parameters for the SQL type Protected Query.
queryString -> (string)
The query string to be submitted.analysisTemplateArn -> (string)
The Amazon Resource Name (ARN) associated with the analysis template within a collaboration.parameters -> (map)
The protected query SQL parameters.
key -> (string)
value -> (string)
computeConfiguration -> (tagged union structure)
Provides configuration information for the workers that will perform the protected query.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:worker
.worker -> (structure)
The worker instances that will perform the compute work.
type -> (string)
The instance type of the compute workers that are used.number -> (integer)
The number of compute workers that are used.roleArn -> (string)
The ARN of the IAM role that Clean Rooms ML can assume to read the data referred to in the
dataSource
field the input channel.Passing a role across AWS accounts is not allowed. If you pass a role that isn't in your account, you get an
AccessDeniedException
error.
protectedQueryIdentifier -> (string)
The ID of the protected query that was used to create the ML input channel.
mlInputChannelArn -> (string)
The Amazon Resource Name (ARN) of the ML input channel.
name -> (string)
The name of the ML input channel.
configuredModelAlgorithmAssociations -> (list)
The configured model algorithm associations that were used to create the ML input channel.
(string)
status -> (string)
The status of the ML input channel.
statusDetails -> (structure)
Details about the status of a resource.
statusCode -> (string)
The status code that was returned. The status code is intended for programmatic error handling. Clean Rooms ML will not change the status code for existing error conditions.message -> (string)
The error message that was returned. The message is intended for human consumption and can change at any time. Use thestatusCode
for programmatic error handling.
retentionInDays -> (integer)
The number of days to keep the data in the ML input channel.
numberOfRecords -> (long)
The number of records in the ML input channel.
numberOfFiles -> (double)
The number of files in the ML input channel.
sizeInGb -> (double)
The size, in GB, of the ML input channel.
description -> (string)
The description of the ML input channel.
kmsKeyArn -> (string)
The Amazon Resource Name (ARN) of the KMS key that was used to create the ML input channel.
tags -> (map)
The optional metadata that you applied to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50.
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8.
- Maximum value length - 256 Unicode characters in UTF-8.
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case sensitive.
- Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
key -> (string)
value -> (string)