Class: Aws::MachineLearning::Types::DescribeEvaluationsInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::DescribeEvaluationsInput
- 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 variable to filter a list of
Evaluationobjects:. -
#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 maximum number of
Evaluationto 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
Evaluation.
Instance Attribute Details
#eq ⇒ String
The equal to operator. The Evaluation 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 1357 class DescribeEvaluationsInput < 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 variable to filter a list of Evaluation
objects:
CreatedAt- Sets the search criteria to theEvaluationcreation date.Status- Sets the search criteria to theEvaluationstatus.Name- Sets the search criteria to the contents ofEvaluationName.IAMUser- Sets the search criteria to the user account that invoked anEvaluation.MLModelId- Sets the search criteria to theMLModelthat was evaluated.DataSourceId- Sets the search criteria to theDataSourceused inEvaluation.DataUri- Sets the search criteria to the data file(s) used inEvaluation. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1357 class DescribeEvaluationsInput < 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 Evaluation 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 1357 class DescribeEvaluationsInput < 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 Evaluation 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 1357 class DescribeEvaluationsInput < 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 Evaluation 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 1357 class DescribeEvaluationsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |
#limit ⇒ Integer
The maximum number of Evaluation to include in the result.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1357 class DescribeEvaluationsInput < 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 Evaluation 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 1357 class DescribeEvaluationsInput < 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 Evaluation 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 1357 class DescribeEvaluationsInput < 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 1357 class DescribeEvaluationsInput < 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 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
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1357 class DescribeEvaluationsInput < 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 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1357 class DescribeEvaluationsInput < Struct.new( :filter_variable, :eq, :gt, :lt, :ge, :le, :ne, :prefix, :sort_order, :next_token, :limit) SENSITIVE = [] include Aws::Structure end |