Class: Aws::MachineLearning::Types::DescribeEvaluationsInput

Inherits:

Struct

• Object
• Struct
• Aws::MachineLearning::Types::DescribeEvaluationsInput

Includes:

Structure

Defined in:

lib/aws-sdk-machinelearning/types.rb

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #eq ⇒ String

  The equal to operator.

• #filter_variable ⇒ String

  Use one of the following variable to filter a list of Evaluation objects:.

• #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 Evaluation 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 Name or Id.

• #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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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 the Evaluation creation date.

• Status - Sets the search criteria to the Evaluation status.

• Name - Sets the search criteria to the contents of Evaluation Name.

• IAMUser - Sets the search criteria to the user account that invoked an Evaluation.

• MLModelId - Sets the search criteria to the MLModel that was evaluated.

• DataSourceId - Sets the search criteria to the DataSource used in Evaluation.

• DataUri - Sets the search criteria to the data file(s) used in Evaluation. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

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.

# File 'lib/aws-sdk-machinelearning/types.rb', line 1359

class DescribeEvaluationsInput < Struct.new(
  :filter_variable,
  :eq,
  :gt,
  :lt,
  :ge,
  :le,
  :ne,
  :prefix,
  :sort_order,
  :next_token,
  :limit)
  SENSITIVE = []
  include Aws::Structure
end