Class: Aws::LookoutEquipment::Types::SensorStatisticsSummary

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-lookoutequipment/types.rb

Overview

Summary of ingestion statistics like whether data exists, number of missing values, number of invalid values and so on related to the particular sensor.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#categorical_values ⇒ Types::CategoricalValues

Parameter that describes potential risk about whether data associated with the sensor is categorical.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#component_name ⇒ String

Name of the component to which the particular sensor belongs for which the statistics belong to.

Returns:

  • (String) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#data_end_time ⇒ Time

Indicates the time reference to indicate the end of valid data associated with the sensor that the statistics belong to.

Returns:

  • (Time) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#data_exists ⇒ Boolean

Parameter that indicates whether data exists for the sensor that the statistics belong to.

Returns:

  • (Boolean) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#data_start_time ⇒ Time

Indicates the time reference to indicate the beginning of valid data associated with the sensor that the statistics belong to.

Returns:

  • (Time) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#duplicate_timestamps ⇒ Types::CountPercent

Parameter that describes the total number of duplicate timestamp records associated with the sensor that the statistics belong to.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#invalid_date_entries ⇒ Types::CountPercent

Parameter that describes the total number of invalid date entries associated with the sensor that the statistics belong to.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#invalid_values ⇒ Types::CountPercent

Parameter that describes the total number of, and percentage of, values that are invalid for the sensor that the statistics belong to.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#large_timestamp_gaps ⇒ Types::LargeTimestampGaps

Parameter that describes potential risk about whether data associated with the sensor contains one or more large gaps between consecutive timestamps.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#missing_values ⇒ Types::CountPercent

Parameter that describes the total number of, and percentage of, values that are missing for the sensor that the statistics belong to.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#monotonic_values ⇒ Types::MonotonicValues

Parameter that describes potential risk about whether data associated with the sensor is mostly monotonic.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#multiple_operating_modes ⇒ Types::MultipleOperatingModes

Parameter that describes potential risk about whether data associated with the sensor has more than one operating mode.

Returns:



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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end

#sensor_name ⇒ String

Name of the sensor that the statistics belong to.

Returns:

  • (String) 


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# File 'lib/aws-sdk-lookoutequipment/types.rb', line 3742

class SensorStatisticsSummary < Struct.new(
  :component_name,
  :sensor_name,
  :data_exists,
  :missing_values,
  :invalid_values,
  :invalid_date_entries,
  :duplicate_timestamps,
  :categorical_values,
  :multiple_operating_modes,
  :large_timestamp_gaps,
  :monotonic_values,
  :data_start_time,
  :data_end_time)
  SENSITIVE = []
  include Aws::Structure
end