Creates a new
Evaluation of an
MLModel . An
MLModel is evaluated on a set of observations associated to a
DataSource . Like a
DataSource for an
MLModel , the
DataSource for an
Evaluation contains values for the
Target Variable . The
Evaluation compares the predicted result for each observation to the actual outcome and provides a summary so that you know how effective the
MLModel functions on the test data. Evaluation generates a relevant performance metric, such as BinaryAUC, RegressionRMSE or MulticlassAvgFScore based on the corresponding
CreateEvaluationis an asynchronous operation. In response to
CreateEvaluation, Amazon Machine Learning (Amazon ML) immediately returns and sets the evaluation status to
PENDING. After the
Evaluationis created and ready for use, Amazon ML sets the status to
You can use the
GetEvaluation operation to check progress of the evaluation during the creation operation.
See also: AWS API Documentation
create-evaluation --evaluation-id <value> [--evaluation-name <value>] --ml-model-id <value> --evaluation-data-source-id <value> [--cli-input-json | --cli-input-yaml] [--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>] [--cli-binary-format <value>] [--no-cli-pager] [--cli-auto-prompt] [--no-cli-auto-prompt]
A user-supplied ID that uniquely identifies the
A user-supplied name or description of the
The ID of the
The schema used in creating the
MLModelmust match the schema of the
DataSourceused in the
The ID of the
DataSourcefor the evaluation. The schema of the
DataSourcemust match the schema used to create the
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
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. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
Turn on debug logging.
Override command’s default URL with the given URL.
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.
Disable automatic pagination.
The formatting style for command output.
A JMESPath query to use in filtering the response data.
Use a specific profile from your credential file.
The region to use. Overrides config/env settings.
Display the version of this tool.
Turn on/off color output.
Do not sign requests. Credentials will not be loaded if this argument is provided.
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
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.
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.
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob
fileb:// will always be treated as binary and use the file contents directly regardless of the
cli-binary-format setting. When using
file:// the file contents will need to properly formatted for the configured
Disable cli pager for output.
Automatically prompt for CLI input parameters.
Disable automatically prompt for CLI input parameters.
EvaluationId -> (string)
The user-supplied ID that uniquely identifies the
Evaluation. This value should be identical to the value of the
EvaluationIdin the request.