Name

adams.flow.transformer.WekaInstancesInfo

Synopsis

Outputs statistics of a weka.core.Instances object.
FULL_ATTRIBUTE and FULL_CLASS output a spreadsheet with detailed attribute statistics. All others output either strings, integers or doubles (or arrays of them, in case of counts/distribution).

Additional information

Flow input/output:
- input: weka.core.Instances, weka.core.Instance
- output: java.lang.String

Options

• loggingLevel
  

  The logging level for outputting errors and debugging output.

  command-line	-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST>
  default	WARNING
  min-user-mode	Expert

  
  
• name
  

  The name of the actor.

  command-line	-name <java.lang.String>
  default	WekaInstancesInfo

  
  
• annotations
  

  The annotations to attach to this actor.

  command-line	-annotation <adams.core.base.BaseAnnotation>
  default

  
  
• skip
  

  If set to true, transformation is skipped and the input token is just forwarded as it is.

  command-line	-skip <boolean>
  default	false

  
  
• stopFlowOnError
  

  If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.

  command-line	-stop-flow-on-error <boolean>
  default	false
  min-user-mode	Expert

  
  
• silent
  

  If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.

  command-line	-silent <boolean>
  default	false
  min-user-mode	Expert

  
  
• outputArray
  

  Whether to output the values one-by-one or as array (counts or distributions are always output as array).

  command-line	-output-array <boolean>
  default	false

  
  
• type
  

  The type of information to generate; NB some of the types are only available for numeric or nominal attributes.

  command-line	-type <FULL|FULL_ATTRIBUTE|FULL_CLASS|HEADER|RELATION_NAME|NUM_ATTRIBUTES|NUM_INSTANCES|NUM_CLASS_LABELS|ATTRIBUTE_NAME|ATTRIBUTE_NAMES|CLASS_ATTRIBUTE_NAME|LABELS|CLASS_LABELS|NUM_LABELS|NUM_MISSING_VALUES|NUM_DISTINCT_VALUES|NUM_UNIQUE_VALUES|LABEL_COUNT|CLASS_LABEL_COUNT|LABEL_COUNTS|CLASS_LABEL_COUNTS|LABEL_DISTRIBUTION|CLASS_LABEL_DISTRIBUTION|MIN|MAX|MEAN|STDEV|ATTRIBUTE_TYPE|CLASS_TYPE>
  default	FULL

  
  
• attributeIndex
  

  The attribute index to use for generating attribute-specific information; An index is a number starting with 1; apart from attribute names (case-sensitive), the following placeholders can be used as well: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); attribute names can be surrounded by double quotes.

  command-line	-attribute-index <adams.data.weka.WekaAttributeIndex>
  default	last
  example	An index is a number starting with 1; apart from attribute names (case-sensitive), the following placeholders can be used as well: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); attribute names can be surrounded by double quotes.

  
  
• labelIndex
  

  The index of the label to use; An index is a number starting with 1; apart from label names (case-sensitive), the following placeholders can be used as well: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); label names can be surrounded by double quotes.

  command-line	-label-index <adams.data.weka.WekaLabelIndex>
  default	first
  example	An index is a number starting with 1; apart from label names (case-sensitive), the following placeholders can be used as well: first, second, third, last_2, last_1, last; numeric indices can be enforced by preceding them with '#' (eg '#12'); label names can be surrounded by double quotes.