[ aws . personalize ]
Creates a recommendation filter. For more information, see Using Filters with Amazon Personalize.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
create-filter
--name <value>
--dataset-group-arn <value>
--filter-expression <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]
--name (string)
The name of the filter to create.
--dataset-group-arn (string)
The ARN of the dataset group that the filter will belong to.
--filter-expression (string)
The filter expression that designates the interaction types that the filter will filter out. A filter expression must follow the following format:
EXCLUDE itemId WHERE INTERACTIONS.event_type in ("EVENT_TYPE")Where “EVENT_TYPE” is the type of event to filter out. To filter out all items with any interactions history, set
"*"as the EVENT_TYPE. For more information, see Using Filters with Amazon Personalize.
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml.
--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. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
See ‘aws help’ for descriptions of global parameters.