Name

adams.flow.transformer.CNTKMultiFilter

Synopsis

Applies the filters to the incoming data (also adds a numeric ID column) and outputs this new dataset alongside Python code for CNTK.

Additional information

Flow input/output:
- input: weka.core.Instances
- output: adams.flow.container.CNTKMultiFilterResultContainer

Container information:
- adams.flow.container.CNTKMultiFilterResultContainer:
   - Dataset: dataset with IDs (JSON Map; id <-> sample ID); java.lang.String
   - IDs
   - Saver: Instances saver command-line; java.lang.String
   - Definition: CNTK setup (JSON config file); 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

  
  
• name
  

  The name of the actor.

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

  
  
• 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

  
  
• 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

  
  
• domainName
  

  The name for the domain.

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

  
  
• domainType
  

  The type for the domain.

  command-line	-domain-type <java.lang.String>
  default

  
  
• filters
  

  The filters to apply individually to the data (excluding targets and sample ID).

  command-line	-filter <weka.filters.Filter> [-filter ...]
  default

  
  
• regExps
  

  The regular expression to apply to the attribute names to identify numeric attributes to use for a filter.

  command-line	-regexp <adams.core.base.BaseRegExp> [-regexp ...]
  default
  more	http://docs.oracle.com/javase/tutorial/essential/regex/
  	http://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html

  
  
• prefixes
  

  The prefixes for the attributes to use (- gets added automatically).

  command-line	-prefix <adams.core.base.BaseString> [-prefix ...]
  default

  
  
• targets
  

  The attributes in the dataset that are considered targets.

  command-line	-targets <adams.data.weka.WekaAttributeRange>
  default	last
  example	A range is a comma-separated list of single 1-based indices or sub-ranges of indices ('start-end'); 'inv(...)' inverts the range '...'; 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.

  
  
• inputIDAttribute
  

  The attribute index in the input dataset that contains the unique ID for which to generate the ID mapping.

  command-line	-input-id-att <adams.data.weka.WekaAttributeIndex>
  default	first
  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.

  
  
• outputIDAttribute
  

  The attribute name in the output dataset that contains the numeric unique ID for which the ID mapping was generated.

  command-line	-output-id-att <java.lang.String>
  default	ID