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| Paws::MachineLearning::DescribeMLModels(3) | User Contributed Perl Documentation | Paws::MachineLearning::DescribeMLModels(3) |
NAME
Paws::MachineLearning::DescribeMLModels - Arguments for method DescribeMLModels on Paws::MachineLearningDESCRIPTION
This class represents the parameters used for calling the method DescribeMLModels on the Amazon Machine Learning service. Use the attributes of this class as arguments to method DescribeMLModels.You shouln't make instances of this class. Each attribute should be used as a named argument in the call to DescribeMLModels.
As an example:
$service_obj->DescribeMLModels(Att1 => $value1, Att2 => $value2, ...);
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.
ATTRIBUTES
EQ => Str
The equal to operator. The "MLModel" results will have "FilterVariable" values that exactly match the value specified with "EQ".FilterVariable => Str
Use one of the following variables to filter a list of "MLModel":- "CreatedAt" - Sets the search criteria to "MLModel" creation date.
- "Status" - Sets the search criteria to "MLModel" status.
- "Name" - Sets the search criteria to the contents of "MLModel" "Name".
- "IAMUser" - Sets the search criteria to the user account that invoked the "MLModel" creation.
- "TrainingDataSourceId" - Sets the search criteria to the "DataSource" used to train one or more "MLModel".
- "RealtimeEndpointStatus" - Sets the search criteria to the "MLModel" real-time endpoint status.
- "MLModelType" - Sets the search criteria to "MLModel" type: binary, regression, or multi-class.
- "Algorithm" - Sets the search criteria to the algorithm that the "MLModel" uses.
- "TrainingDataURI" - Sets the search criteria to the data file(s) used in training a "MLModel". The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
GE => Str
The greater than or equal to operator. The "MLModel" results will have "FilterVariable" values that are greater than or equal to the value specified with "GE".GT => Str
The greater than operator. The "MLModel" results will have "FilterVariable" values that are greater than the value specified with "GT".LE => Str
The less than or equal to operator. The "MLModel" results will have "FilterVariable" values that are less than or equal to the value specified with "LE".Limit => Int
The number of pages of information to include in the result. The range of acceptable values is 1 through 100. The default value is 100.LT => Str
The less than operator. The "MLModel" results will have "FilterVariable" values that are less than the value specified with "LT".NE => Str
The not equal to operator. The "MLModel" 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 "MLModel" could have the "Name" "2014-09-09-HolidayGiftMailer". To search for this "MLModel", 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 "MLModel".- "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".
SEE ALSO
This class forms part of Paws, documenting arguments for method DescribeMLModels in Paws::MachineLearningBUGS and CONTRIBUTIONS
The source code is located here: https://github.com/pplu/aws-sdk-perlPlease report bugs to: https://github.com/pplu/aws-sdk-perl/issues
| 2015-08-06 | perl v5.32.1 |
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