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[ aws . machinelearning ]
Generates predictions for a group of observations. The observations to process exist in one or more data files referenced by a DataSource
. This operation creates a new BatchPrediction
, and uses an MLModel
and the data files referenced by the DataSource
as information sources.
CreateBatchPrediction
is an asynchronous operation. In response toCreateBatchPrediction
, Amazon Machine Learning (Amazon ML) immediately returns and sets theBatchPrediction
status toPENDING
. After theBatchPrediction
completes, Amazon ML sets the status toCOMPLETED
.
You can poll for status updates by using the GetBatchPrediction operation and checking the Status
parameter of the result. After the COMPLETED
status appears, the results are available in the location specified by the OutputUri
parameter.
See also: AWS API Documentation
create-batch-prediction
--batch-prediction-id <value>
[--batch-prediction-name <value>]
--ml-model-id <value>
--batch-prediction-data-source-id <value>
--output-uri <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>]
--batch-prediction-id
(string)
A user-supplied ID that uniquely identifies theBatchPrediction
.
--batch-prediction-name
(string)
A user-supplied name or description of theBatchPrediction
.BatchPredictionName
can only use the UTF-8 character set.
--ml-model-id
(string)
The ID of theMLModel
that will generate predictions for the group of observations.
--batch-prediction-data-source-id
(string)
The ID of theDataSource
that points to the group of observations to predict.
--output-uri
(string)
The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the
s3 key
portion of theoutputURI
field: ':', '//', '/./', '/../'.Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide .
--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.
BatchPredictionId -> (string)
A user-supplied ID that uniquely identifies theBatchPrediction
. This value is identical to the value of theBatchPredictionId
in the request.