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 shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DescribeMLModels.
SYNOPSIS
my $machinelearning = Paws->service('MachineLearning');
my $DescribeMLModelsOutput = $machinelearning->DescribeMLModels(
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 = $DescribeMLModelsOutput->NextToken;
my $Results = $DescribeMLModelsOutput->Results;
# Returns a L<Paws::MachineLearning::DescribeMLModelsOutput> 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/DescribeMLModels
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 toMLModel
creation date.Status
- Sets the search criteria toMLModel
status.Name
- Sets the search criteria to the contents ofMLModel
Name
.IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation.TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
.RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status.MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class.Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses.TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
Valid values are: "CreatedAt"
, "LastUpdatedAt"
, "Status"
, "Name"
, "IAMUser"
, "TrainingDataSourceId"
, "RealtimeEndpointStatus"
, "MLModelType"
, "Algorithm"
, "TrainingDataURI"
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
.
Valid values are: "asc"
, "dsc"
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