Class: AWSCDK::CleanRooms::CfnAnalysisTemplate::SyntheticDataColumnPropertiesProperty

Inherits:
Jsii::Struct
  • Object
show all
Defined in:
clean_rooms/cfn_analysis_template.rb

Overview

Properties that define how a specific data column should be handled during synthetic data generation, including its name, type, and role in predictive modeling.

See Also:

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(column_name:, column_type:, is_predictive_value:) ⇒ SyntheticDataColumnPropertiesProperty

Returns a new instance of SyntheticDataColumnPropertiesProperty.

Parameters:

  • column_name (String) —

    The name of the data column as it appears in the dataset.

  • column_type (String) —

    The data type of the column, which determines how the synthetic data generation algorithm processes and synthesizes values for this column.

  • is_predictive_value (Boolean, AWSCDK::IResolvable) —

    Indicates if this column contains predictive values that should be treated as target variables in machine learning models.



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# File 'clean_rooms/cfn_analysis_template.rb', line 1210

def initialize(column_name:, column_type:, is_predictive_value:)
  @column_name = column_name
  Jsii::Type.check_type(@column_name, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "columnName")
  @column_type = column_type
  Jsii::Type.check_type(@column_type, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "columnType")
  @is_predictive_value = is_predictive_value
  Jsii::Type.check_type(@is_predictive_value, JSON.parse(Base64.strict_decode64("eyJ1bmlvbiI6eyJ0eXBlcyI6W3sicHJpbWl0aXZlIjoiYm9vbGVhbiJ9LHsiZnFuIjoiYXdzLWNkay1saWIuSVJlc29sdmFibGUifV19fQ==")), "isPredictiveValue")
end

Instance Attribute Details

#column_name ⇒ String (readonly)

The name of the data column as it appears in the dataset.

Returns:

  • (String)

See Also:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1223

def column_name
  @column_name
end

#column_type ⇒ String (readonly)

The data type of the column, which determines how the synthetic data generation algorithm processes and synthesizes values for this column.

Returns:

  • (String)

See Also:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1228

def column_type
  @column_type
end

#is_predictive_value ⇒ Boolean, AWSCDK::IResolvable (readonly)

Indicates if this column contains predictive values that should be treated as target variables in machine learning models.

This affects how the synthetic data generation preserves statistical relationships.

Returns:

See Also:



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# File 'clean_rooms/cfn_analysis_template.rb', line 1235

def is_predictive_value
  @is_predictive_value
end

Class Method Details

.jsii_properties ⇒ Object 



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# File 'clean_rooms/cfn_analysis_template.rb', line 1237

def self.jsii_properties
  {
    :column_name => "columnName",
    :column_type => "columnType",
    :is_predictive_value => "isPredictiveValue",
  }
end

Instance Method Details

#to_jsii ⇒ Object 



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# File 'clean_rooms/cfn_analysis_template.rb', line 1245

def to_jsii
  result = {}
  result.merge!({
    "columnName" => @column_name,
    "columnType" => @column_type,
    "isPredictiveValue" => @is_predictive_value,
  })
  result.compact
end