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Paws::MachineLearning:UsercContributedwPerMachineLearning::DescribeMLModels(3)

NAME
       Paws::MachineLearning::DescribeMLModels - Arguments for method
       DescribeMLModels	on Paws::MachineLearning

DESCRIPTION
       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":

       o   "CreatedAt" - Sets the search criteria to "MLModel" creation	date.

       o   "Status" - Sets the search criteria to "MLModel" status.

       o   "Name" - Sets the search criteria to	the contents of	"MLModel"
	   "Name".

       o   "IAMUser" - Sets the	search criteria	to the user account that
	   invoked the "MLModel" creation.

       o   "TrainingDataSourceId" - Sets the search criteria to	the
	   "DataSource"	used to	train one or more "MLModel".

       o   "RealtimeEndpointStatus" - Sets the search criteria to the
	   "MLModel" real-time endpoint	status.

       o   "MLModelType" - Sets	the search criteria to "MLModel" type: binary,
	   regression, or multi-class.

       o   "Algorithm" - Sets the search criteria to the algorithm that	the
	   "MLModel" uses.

       o   "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":

       o   2014-09

       o   2014-09-09

       o   2014-09-09-Holiday

   SortOrder =>	Str
       A two-value parameter that determines the sequence of the resulting
       list of "MLModel".

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

       o   "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::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

perl v5.24.1			  20Paws::MachineLearning::DescribeMLModels(3)

NAME | DESCRIPTION | ATTRIBUTES | SEE ALSO | BUGS and CONTRIBUTIONS

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