Class: Aws::MachineLearning::Types::DescribeMLModelsInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::DescribeMLModelsInput
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#eq ⇒ String
The equal to operator.
-
#filter_variable ⇒ String
Use one of the following variables to filter a list of
MLModel:. -
#ge ⇒ String
The greater than or equal to operator.
-
#gt ⇒ String
The greater than operator.
-
#le ⇒ String
The less than or equal to operator.
-
#limit ⇒ Integer
The number of pages of information to include in the result.
-
#lt ⇒ String
The less than operator.
-
#ne ⇒ String
The not equal to operator.
-
#next_token ⇒ String
The ID of the page in the paginated results.
-
#prefix ⇒ String
A string that is found at the beginning of a variable, such as
NameorId. -
#sort_order ⇒ String
A two-value parameter that determines the sequence of the resulting list of
MLModel.
Instance Attribute Details
#eq ⇒ String
The equal to operator. The MLModel results will have
FilterVariable values that exactly match the value specified with
EQ.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#filter_variable ⇒ String
Use one of the following variables to filter a list of MLModel:
CreatedAt- Sets the search criteria toMLModelcreation date.Status- Sets the search criteria toMLModelstatus.Name- Sets the search criteria to the contents ofMLModelName.IAMUser- Sets the search criteria to the user account that invoked theMLModelcreation.TrainingDataSourceId- Sets the search criteria to theDataSourceused to train one or moreMLModel.RealtimeEndpointStatus- Sets the search criteria to theMLModelreal-time endpoint status.MLModelType- Sets the search criteria toMLModeltype: binary, regression, or multi-class.Algorithm- Sets the search criteria to the algorithm that theMLModeluses.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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#ge ⇒ String
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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#gt ⇒ String
The greater than operator. The MLModel results will have
FilterVariable values that are greater than the value specified
with GT.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#le ⇒ String
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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#limit ⇒ Integer
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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#lt ⇒ String
The less than operator. The MLModel results will have
FilterVariable values that are less than the value specified with
LT.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#ne ⇒ String
The not equal to operator. The MLModel results will have
FilterVariable values not equal to the value specified with NE.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#next_token ⇒ String
The ID of the page in the paginated results.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#prefix ⇒ String
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
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#sort_order ⇒ String
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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1495 class DescribeMLModelsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |