Class: Aws::MachineLearning::Types::DescribeMLModelsInput

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#eqString

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#filter_variableString

Use one of the following variables to filter a list of MLModel:

  • CreatedAt - Sets the search criteria to MLModel creation date.

  • Status - Sets the search criteria to MLModel status.

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

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

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

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

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

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

  • 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.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#geString

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.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#gtString

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#leString

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.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#limitInteger

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.

Returns:

  • (Integer)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#ltString

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#neString

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#next_tokenString

The ID of the page in the paginated results.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#prefixString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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

#sort_orderString

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.

Returns:

  • (String)


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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 1498

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