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Paws-0.46
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/ Paws::MachineLearning::DescribeEvaluations

NAME

Paws::MachineLearning::DescribeEvaluations - Arguments for method DescribeEvaluations on Paws::MachineLearning

DESCRIPTION

This class represents the parameters used for calling the method DescribeEvaluations on the Amazon Machine Learning service. Use the attributes of this class as arguments to method DescribeEvaluations.

You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DescribeEvaluations.

SYNOPSIS

my $machinelearning = Paws->service('MachineLearning');
my $DescribeEvaluationsOutput = $machinelearning->DescribeEvaluations(
  EQ             => 'MyComparatorValue',    # OPTIONAL
  FilterVariable => 'CreatedAt',            # OPTIONAL
  GE             => 'MyComparatorValue',    # OPTIONAL
  GT             => 'MyComparatorValue',    # OPTIONAL
  LE             => 'MyComparatorValue',    # OPTIONAL
  LT             => 'MyComparatorValue',    # OPTIONAL
  Limit          => 1,                      # OPTIONAL
  NE             => 'MyComparatorValue',    # OPTIONAL
  NextToken      => 'MyStringType',         # OPTIONAL
  Prefix         => 'MyComparatorValue',    # OPTIONAL
  SortOrder      => 'asc',                  # OPTIONAL
);

# Results:
my $NextToken = $DescribeEvaluationsOutput->NextToken;
my $Results   = $DescribeEvaluationsOutput->Results;

# Returns a L<Paws::MachineLearning::DescribeEvaluationsOutput> object.

Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see https://docs.aws.amazon.com/goto/WebAPI/machinelearning/DescribeEvaluations

ATTRIBUTES

EQ => Str

The equal to operator. The Evaluation results will have FilterVariable values that exactly match the value specified with EQ.

FilterVariable => Str

Use one of the following variable to filter a list of Evaluation objects:

  • CreatedAt - Sets the search criteria to the Evaluation creation date.

  • Status - Sets the search criteria to the Evaluation status.

  • Name - Sets the search criteria to the contents of Evaluation Name.

  • IAMUser - Sets the search criteria to the user account that invoked an Evaluation.

  • MLModelId - Sets the search criteria to the MLModel that was evaluated.

  • DataSourceId - Sets the search criteria to the DataSource used in Evaluation.

  • DataUri - Sets the search criteria to the data file(s) used in Evaluation. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.

Valid values are: "CreatedAt", "LastUpdatedAt", "Status", "Name", "IAMUser", "MLModelId", "DataSourceId", "DataURI"

GE => Str

The greater than or equal to operator. The Evaluation results will have FilterVariable values that are greater than or equal to the value specified with GE.

GT => Str

The greater than operator. The Evaluation results will have FilterVariable values that are greater than the value specified with GT.

LE => Str

The less than or equal to operator. The Evaluation results will have FilterVariable values that are less than or equal to the value specified with LE.

Limit => Int

The maximum number of Evaluation to include in the result.

LT => Str

The less than operator. The Evaluation results will have FilterVariable values that are less than the value specified with LT.

NE => Str

The not equal to operator. The Evaluation results will have FilterVariable values not equal to the value specified with NE.

NextToken => Str

The ID of the page in the paginated results.

Prefix => Str

A string that is found at the beginning of a variable, such as Name or Id.

For example, an Evaluation could have the Name 2014-09-09-HolidayGiftMailer. To search for this Evaluation, select Name for the FilterVariable and any of the following strings for the Prefix:

  • 2014-09

  • 2014-09-09

  • 2014-09-09-Holiday

SortOrder => Str

A two-value parameter that determines the sequence of the resulting list of Evaluation.

  • asc - Arranges the list in ascending order (A-Z, 0-9).

  • dsc - Arranges the list in descending order (Z-A, 9-0).

Results are sorted by FilterVariable.

Valid values are: "asc", "dsc"

SEE ALSO

This class forms part of Paws, documenting arguments for method DescribeEvaluations in Paws::MachineLearning

BUGS and CONTRIBUTIONS

The source code is located here: https://github.com/pplu/aws-sdk-perl

Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues